CN113989227B - Quantitative evaluation method, device and system for color of Danding red white koi - Google Patents
Quantitative evaluation method, device and system for color of Danding red white koi Download PDFInfo
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Abstract
The invention discloses a quantitative evaluation method, device and system for the color of a Danding red white koi. The method comprises the following steps: collecting a high-definition Danding red white koi color image, and extracting color characteristic values of a head top erythema and a white body surface background color from the high-definition Danding red white koi color image; assigning corresponding weights to different color characteristic values according to a preset color evaluation standard; and constructing a danding red koi color evaluation mathematical model according to different color characteristic values and corresponding weights, and outputting a quantized danding red koi color evaluation result. By adopting the technical scheme, the difference of manually observed image acquisition can be eliminated, the consistency of image data acquisition modes is realized by designing a uniform Danding red koi color image acquisition device, the color data is guaranteed to have a uniform acquired data source, and a data base is laid for the subsequent color evaluation algorithm.
Description
Technical Field
The invention relates to the field of model construction, in particular to a quantitative evaluation method for the color of Danding red white koi.
Background
The Danding red koi carp is a representative variety of koi strains, has characteristics and very high appreciation and commercial values, and is particularly loved by the lovely people of the Han. The whole body is white and snow, and a little erythema which does not cause faint and staining on the top of the head is added, so that people can cruise like turning white dragon into river, and sleep like danyang lying water in quiet. The appreciation of the red and white carps from Danding is mainly comprehensively evaluated from the aspects of stripes, colors, body types and swimming postures, wherein the evaluation of the colors is extremely critical. The red and white top of the red lead is pure, thick and oily in color, so that the red lead presents excellent luster and more shows gorgeous color, if the color is impure and has variegated colors and is easy to be tinged to ears or backs, the red lead is not high-quality color, and the gorgeous color is difficult to embody due to thin and light color.
In the market of various fancy carps in the mastery competition and auction market, the danding red white koi is a focus on the market. The evaluation of the color of the red-top white koi can only be carried out by field observation and grading by experts in the industry, and mainly judges whether the color of the red spots on the top of the head is pure, full, bright, fresh and moist and whether the white bottom is pure, snow and white. And finally, taking the average value of the scores of a plurality of experts as the evaluation score of the red and white color of each Danding. The evaluation result mainly comes from subjectivity and experience of experts, and is mixed with personal preference, so that the evaluation result is often lack of objectivity and accuracy and is not strong in persuasion.
At present, the evaluation of the color of the Danding red white koi completely adopts a mode of manually observing and scoring by an evaluation expert, does not adopt or rely on any instrument or other automatic means, and cannot accurately quantify the hue, saturation and lightness indexes of the color. In scientific experiments, a color measuring instrument can be used for measuring color parameters of a target object, but the instrument cannot realize complete non-contact measurement, living organisms are hardly measured, the operation process is complex, the cost is high, and the technical requirement on operators is high. Meanwhile, the measurement result of the color measuring instrument is usually some discrete color parameter data, and a relatively complex color analysis mathematical model cannot be automatically established, so that a color quantitative analysis result cannot be accurately and automatically obtained.
Disclosure of Invention
The invention provides a quantitative evaluation method for the color of Danding red white koi, which comprises the following steps:
collecting a high-definition Danding red white koi color image, and extracting color characteristic values of a top red spot and a white body surface background color from the high-definition Danding red white koi color image;
assigning corresponding weights to different color characteristic values according to a preset color evaluation standard;
and constructing a danding red koi color evaluation mathematical model according to different color characteristic values and corresponding weights, and outputting a quantized danding red koi color evaluation result.
The method for quantitatively evaluating the color of the danding red koi comprises the steps of converting an optical image in a JEPG format into an HSV color model image after receiving a high-definition danding red koi color image of an image acquisition device, and obtaining the color characteristic value of each pixel point in the image, wherein the color characteristic value comprises a hue H value, a saturation S value and a brightness V value.
The method for quantitatively evaluating the color of the Danding red white koi as described above, wherein after extracting the color characteristic values of the overhead erythema and the white body surface background color, constructing a corresponding value range histogram, specifically: scanning pixel by pixel in the color image, respectively extracting and calculating H, S and a V mean value of all red pixel points of the red-top red-white koi top erythema in the HSV color model image according to the threshold ranges of the hue H value, the saturation S value and the lightness V value of the red-top erythema and the white body surface, simultaneously extracting and calculating H, S and a V mean value of all white pixel points of the red-top red-white koi body surface background color in the HSV image, and displaying pixel points H, S and the V mean value of two characteristic colors in respective value range bar graphs.
The quantitative evaluation method for the color of the Danding red white koi comprises the following specific preset color evaluation criteria: the sensory evaluation of the red and white top color and the white bottom color of the red and white top color caray carp is carried out on the basis of three indexes of a hue H value, a saturation S value and a brightness V value, and the most important point is to determine the bright hue of the red and white top color caray carp, wherein the saturation is full and uniform, the brightness is bright and bright, the important degree is the hue > the saturation > the brightness, the white hue of the body surface bottom color is pure white, the saturation is full and uniform, the brightness is bright and bright, and the important degree is the saturation > the brightness.
The quantitative evaluation method for the color of the danding red koi comprises the following steps of weighting and summing the hue H value, the saturation S value and the lightness V value of the color characteristic value and the corresponding weight values respectively to obtain a mathematical model for evaluating the color of the danding red koi, namely:
wHSV＝wH*H+wS*S+wV*V
wH+wS+wV＝1
wherein, wH is the weight of the color hue H value; wS is the weight of the color saturation S value; wV is the weight of the color lightness V value; h is a color hue H value, taking the H value in an HSV color model in a computer vision algorithm library, wherein the range of the red H value is 0-10 or 156-180, and the range of the white H value is 0-180; s is a color saturation S value, and the S value in an HSV color model in a computer vision algorithm library is taken, wherein the range of a red S value range is 43-255, and the range of a white S value range is 0-30; and V is a color brightness V value, the V value in an HSV color model in a computer vision algorithm library is taken, the range of the red V value is 46-255, and the range of the white V value is 221-255.
The quantitative evaluation method for the danding red koi color, wherein the calculation value wHSVred of the danding red koi color evaluation mathematical model for the danding red koi color of the danding red koi color is as follows:
wHSVred＝0.3*redH1-0.1*redH2+0.35*redS+0.25*redV
wherein redH1 is the average value of hue H values of red within the range of 156-180 value range; redH2 is the average value of hue H values of red within the range of 0-10 value range; redS is the mean value of saturation S values of red within a range of 43-255 values, and redV is the mean value of brightness V values of red within a range of 46-255 values.
The quantitative evaluation method for the color of the Danding red koi comprises the following steps of:
wHSVwhite＝0.1*whiteH+0.5*whiteS+0.4*whiteV
wherein whitetH is the average value of hue H values of white within the range of 0-180 value range; whitet S is the average value of saturation S values of white within the range of 0-30 value range; whiteV is the average value of brightness V values of white within the range of 221-255 values.
The quantitative evaluation method for the color of the Danding red white koi comprises the following steps of:
wHSVfish＝(wHSVred+wHSVwhite)/2。
the application also provides a quantitative evaluation device for the color of the Danding red koi, which executes any one of the quantitative evaluation methods for the color of the Danding red koi.
The application also provides a quantitative evaluation system for the color of the Danding red white koi, which comprises the quantitative evaluation device for the color of the Danding red white koi and further comprises an image acquisition device for the Danding red white koi;
the image acquisition device is used for shooting images of the Danding red kohlrabi, and specifically comprises a Danding red kohlrabi breeding water tank, a support frame, a high-definition industrial camera and a portable computer; the support frame is a right-angle support formed by a horizontal support rod and a vertical support rod; one end of the horizontal supporting rod extends to the position above the danding red and white koi breeding water tank, the end face of the horizontal supporting rod is connected with the high-definition industrial camera, and the high-definition industrial camera is electrically connected with the portable computer; one end of the vertical supporting rod is detachably connected with the danding red koi breeding water tank through a clamping device.
The invention has the following beneficial effects:
(1) the difference of manually observed image acquisition is eliminated, the consistency of image data acquisition modes is realized by designing a uniform Danding red koi color image acquisition device, the color data is guaranteed to have a uniform acquired data source, and a data base is laid for the realization of a subsequent color evaluation algorithm;
(2) a wHSV weighted color evaluation mathematical model based on the HSV color model is established, and color parameters are quantized, so that the color evaluation is more scientific, objective and true, and the basis is provided, and the objective quantitative evaluation result of the color of the Danding red white fancy carp is obtained;
(3) the complete quantitative color analysis data can be stored digitally, and a quantitative data basis can be provided for the subsequent development of scientific experiments and production of screening, breeding and the like of the Danding red koi carp.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic diagram of a system for quantitatively evaluating the color of a red-top white koi according to an embodiment of the present application;
FIGS. 2 and 3 are schematic views of an image capturing device for Danding red white koi;
fig. 4 is a flowchart of a quantitative evaluation method for the color of the danding red koi provided in the second embodiment of the present application;
FIG. 5 is a schematic diagram of the construction of a wHSV weighted color estimation mathematical model.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments obtained by a person skilled in the art based on the embodiments of the present invention without making any creative efforts shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, an embodiment of the present application provides a system for quantitatively evaluating a color of a danding red white koi, including: the device comprises an image acquisition device for Danding red and white koi and an image evaluation device. Wherein:
referring to fig. 2 to 3, the danding red koi image capturing apparatus includes: the device comprises a danding red white koi breeding water tank 1, a support frame 2, a high-definition industrial camera 3 and a portable computer 4.
In the embodiment of the present application, preferably, the danding red koi breeding water tank 1 is a cuboid structure with an open upper end, and in order to avoid the color influence of external light on the image in the water tank during image acquisition, the surface of the danding red koi breeding water tank 1 is generally set to be blue. The upper edge of the danding red and white koi breeding water tank 1 is connected with a support frame 2.
The support frame 2 is a right-angle support frame consisting of a horizontal support rod 21 and a vertical support rod 22. One end of the horizontal supporting rod 21 is welded with one end of the vertical supporting rod 22, and the other end of the horizontal supporting rod 21 extends to the upper part of the danding red and white koi breeding water tank 1; the other end of the vertical supporting rod 22 is fixed with the top end of the danding red koi breeding water tank 1; as an example, one end of the vertical rod 22 is detachably coupled to the upper edge of the cultivation water tank 1 for the red and white koi through the holder 5.
In the embodiment of the application, the straddling structure 221 is welded at the bottom end of the vertical supporting rod 22, the left and right stainless steel plates of the straddling structure 221 straddle on the side wall of the danding red and white koi breeding water tank, the center of the right steel plate is provided with an M4 threaded hole 222, and the M4 butterfly tail bolt 223 is screwed leftwards from the M4 threaded hole 222 on the right side of the straddling structure 221; the front end of the left side of the M4 butterfly tail bolt 223 is provided with a rubber pad 224, so that a left steel plate of the straddle structure 221 is fastened with the side wall of the danding red white koi breeding water tank 1; the M4 butterfly tail bolt 223 is screwed in to the left side, the rubber pad 224 at the front end of the M4 butterfly tail bolt 223 is pushed, the left steel plate of the straddle structure 221 is tightly pressed with the side wall of the Danding red white koi breeding water tank 1 to play a fastening role, the butterfly tail bolt is screwed out to the right side, the contact between the rubber pad 224 at the front end and the side wall of the water tank is loosened, and the separation and the disassembly of the support frame 2 and the side wall of the Danding red white koi breeding water tank 1 are realized.
Set up spirit level 6 in horizontal strut 21 middle part upper end, spirit level 6 is circular, and a concentric circle shape scale is taken to the center, and inside packing liquid just leaves the bubble, and when circular scale was arranged in to wherein the bubble, the device gesture is horizontal, guarantees that high definition industry camera 3 imaging plane is parallel with the horizontal plane of red white splenic carp breed basin 1 in danding.
Set up M6 bolt 211 at horizontal strut 21 tip, M6 bolt 211 is 3 tripod standard fixed interface of high definition industrial camera, is connected with 3 side M6 screws of high definition industrial camera, guarantees that 3 imaging axis of high definition industrial camera are perpendicular with horizontal strut 21, and 3 camera lenses of high definition industrial camera towards red white koi breed basin 1 surface of water of red white koi, guarantees that 3 imaging plane of high definition industrial camera are parallel with the horizontal plane in red white koi breed basin 1 of red top red white koi from this.
The portable computer 4 is connected with the high-definition industrial camera 3 through the USB3.0 data power supply line 7, supplies power for the high-definition industrial camera 3, and receives the Danding red white koi color image uploaded by the high-definition industrial camera 3 through the USB3.0 data power supply line 7.
Image evaluation software is deployed in the portable computer 4, and a quantitative evaluation method for the color of the red-top white koi is executed. The portable computer 4 is connected with the high-definition color industrial camera through a USB3.0 data transmission power supply line, and based on a camera SDK interface function, the camera triggers a photographing function to photograph the Danding red white koi image, and the collected Danding red white koi image can be previewed in an image preview window of an image evaluation software interface. And after the image acquisition is finished, evaluating the image.
Example two
As shown in fig. 3, a second embodiment of the present application provides a method for quantitatively evaluating a color of a danding red koi, including:
step 310, collecting a high-definition Danding red white koi color image, and extracting color characteristic values of a top red spot and a white body surface background color from the color image;
specifically, after receiving a high-definition dandy red koi color image of the image acquisition device, the dandy red koi color evaluation model construction device converts the optical image in the JEPG format into an HSV color model image to obtain a color characteristic value of each pixel point in the image, including but not limited to hue (H value), saturation (S value) and lightness (V value); various color characteristics can be presented accurately, quantitatively and intuitively through the HSV color model;
after extracting the color characteristic values of the overhead erythema and the white body surface ground color, constructing a corresponding value range cylindrical graph, which specifically comprises the following steps: and scanning pixel by pixel in the color image, respectively extracting and calculating H, S and a V mean value of all red pixel points of the red top and white top speckles of the Dantop red and white caragana carps in the HSV color model image according to hue (H value), saturation (S value) and lightness (V value) threshold ranges of the red top and white body surfaces, simultaneously extracting and calculating H, S and a V mean value of all white pixel points of the bottom color of the Dantop red and white caragana carps in the HSV color model image, and displaying pixel points H, S and the V mean value of two characteristic colors in respective value domain range histograms.
Step 320, assigning corresponding weights to different color characteristic values according to a preset color evaluation standard;
in the embodiment of the present application, the preset color evaluation criteria specifically include: currently, sensory evaluation of red-top red-white fancy carp erythema color and white-bottom color in the industry is generally carried out on the basis of three indexes of hue (H value), saturation (S value) and brightness (V value); meanwhile, when evaluating and scoring, an evaluation expert usually distinguishes the industrial consensus on the importance degrees of the three indexes, and considers that the color tone of the red-top red-white koi overhead erythema is most bright, the saturation is full and uniform, the brightness is bright and bright, the importance degree is hue > saturation > brightness, the white color tone of the body surface background color is pure white, the saturation is full and uniform, the brightness is bright and glossy, and the importance degree is saturation > brightness.
Based on the preset color evaluation standard, different weights wH, wS and wV are respectively assigned to three parameter indexes of an HSV color model, namely hue (H value), saturation (S value) and lightness (V value), and wH + wS + wV is 1; as an example, for red and white body surface background colors of red top and red top of the head of the red koi, the judgment standards of the appraisal experts are slightly different, so the specific gravities of wH, wS and wV are slightly different, and therefore, in the algorithm model, two colors are respectively modeled and scored; because the H value of the red color is respectively positioned in two discontinuous value range when the red color is described by the HSV color model in the computer vision algorithm library, wherein 0 and 180 are the most vivid red tones, the wHSV model also performs value range division on the algorithm description of the red H value. Different weights are respectively set for each color parameter of two characteristic colors, and the weights are specifically shown in the following table 1:
TABLE 1 color parameter weight table
Step 330, constructing a color evaluation mathematical model of the Danding red white koi according to different color characteristic values and corresponding weights, and outputting a quantized color evaluation result of the Danding red white koi;
as shown in fig. 5, the hue (H value), saturation (S value) and brightness (V value) of the three parameter indexes and the three parameter index weights are weighted and summed respectively to obtain a wHSV weighted color evaluation mathematical model, that is:
wHSV＝wH*H+wS*S+wV*V
wH+wS+wV＝1
wherein, wH is the weight of the color hue (H value); wS is the weight of color saturation (S value); wV is the weight of the color lightness (V value); h is color hue (H value), taking the H value in an HSV color model in a computer vision algorithm library, wherein the range of the H value of red is 0-10 or 156-180, and the range of the H value of white is 0-180; s is color saturation (S value), the S value in an HSV color model in a computer vision algorithm library is taken, the range of the S value range of red is 43-255, and the range of the S value range of white is 0-30; and V is the color brightness (V value), the V value in the HSV color model in the computer vision algorithm library is taken, the range of the red V value is 46-255, and the range of the white V value is 221-255.
Therefore, the wHSV model calculation value wHSVrated of the red top red white koi top erythema color is as follows:
wHSVred＝0.3*redH1-0.1*redH2+0.35*redS+0.25*redV
wherein redH1 is the average value of the hues (H values) of red within the range of 156-180 values; redH2 is the average value of the hue (H value) of red within the range of 0-10 value; redS is the mean value of the saturation (S value) of red in the range of 43-255 values, and redV is the mean value of the lightness (V value) of red in the range of 46-255 values. According to the calculation, wHSVrated full is divided into 207 (the precision is taken to be integer number), and the closer the score value is to the value, the better the erythema color is;
the wHSV model calculation value wHSVwhite of the white background color of the body surface of the Danding red white koi is as follows:
wHSVwhite＝0.1*whiteH+0.5*whiteS+0.4*whiteV
wherein whiteH is the average value of the hues (H values) of white within the range of 0-180 values; whitet S is the average value of the saturation (S value) of white within the range of 0-30 value range; whiteV is the average value of lightness (V value) of white within the range of 221-255 values. Therefore, the wHSVwhite full score is calculated to be 135 (the precision is taken to be integer digits), and the closer the score is to the value, the better the white background color of the body surface is.
So far, by the application, a quantized comprehensive evaluation score (with the accuracy being taken to be an integer number) can be given for the color of each danding red white koi, namely:
wHSVfish＝(wHSVred+wHSVwhite)/2
from this, we calculate the wHSVflash full score of 171 (the accuracy is taken to be an integer number) and the closer the score is to this value, the better the color of the Danding red white koi.
After calling a wHSV weighted color evaluation mathematical model to calculate to obtain an evaluation branch, displaying weighted color evaluation scores respectively obtained by each erythema and white background on a software interface, and displaying the average value of the erythema and white background scores as a comprehensive evaluation score on the software interface; meanwhile, a data export function is provided for a user, and all the color quantization data can be stored in the EXCEL format file of the local hard disk of the portable computer.
The following are specific examples for evaluating two danding red koi, wherein the derived color data and the quantitative analysis result of danding red koi No. 1 are shown in table 2 below, and the derived color data and the quantitative analysis result of danding red koi No. 2 are shown in table 3 below:
table 2 (No. 1) danding red white koi derived color data and quantitative analysis results:
table 3 (No. 2) danding red white koi derived color data and quantitative analysis results:
for individual Danding red white koi carps with high-quality No. 1 and No. 2 colors, on the judgment site, different experts manually observe the carps visually, and based on different observation visual angles and different experience and preference biases, the difference cannot be accurately and objectively given, so that the individual Danding red white koi carps with high-quality colors are difficult to convincingly judge the colors. The technical scheme can effectively solve the problems: from the two tables, although each item of data of the two quantitative results of the danding red white koi color has a greater or lesser difference, the difference can be reflected from a high-definition color digital image, but the specific difference can be reflected well through the quantitative evaluation result of the technical scheme of the application.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (7)
1. A quantitative evaluation method for the color of the Danding red white koi is characterized by comprising the following steps:
collecting a high-definition Danding red white koi color image, and extracting color characteristic values of a head top erythema and a white body surface background color from the high-definition Danding red white koi color image;
assigning corresponding weights to different color characteristic values according to a preset color evaluation standard;
constructing a Danding red white koi color evaluation mathematical model according to different color characteristic values and corresponding weights, and outputting a quantized Danding red white koi color evaluation result;
the calculation value wHSVred of the evaluation mathematical model of the red top red koi color of the red top red koi color is as follows:
wHSVred＝0.3*redH1-0.1*redH2+0.35*redS+0.25*redV
wherein redH1 is the average value of hue H values of red within the range of 156-180 value range; redH2 is the average value of hue H values of red within the range of 0-10 value; redS is the mean value of saturation S values of red within a range of 43-255 values, and redV is the mean value of brightness V values of red within a range of 46-255 values;
the evaluation mathematical model calculation value wHSVwhite of the surface white color of the Danding red white koi, namely the color of the Danding red white koi, is as follows:
wHSVwhite＝0.1*whiteH+0.5*whiteS+0.4*whiteV
wherein whitetH is the average value of hue H values of white within the range of 0-180 value range; whitet S is the average value of saturation S values of white within the range of 0-30 value range; whiteV is the average value of brightness V values of white within the range of 221-255 value ranges;
the quantified evaluation result wHSVflash of the Danding red white koi color is as follows: wHSVfish ═ whsvered + wHSVwhite)/2.
2. The method for quantitatively evaluating the color of the danzeng koi as claimed in claim 1, wherein after receiving the color image of the high definition danzeng koi from the image capturing device, the optical image in the JEPG format is converted into an HSV color model image, and the color characteristic values of each pixel point in the image, including a hue H value, a saturation S value and a lightness V value, are obtained.
3. The method for quantitatively evaluating the color of the danding red koi as claimed in claim 2, wherein after extracting the color feature values of the parietal erythema and the white body surface background color, further comprising constructing a corresponding value range histogram, specifically: and scanning pixel by pixel in the color image, respectively extracting and calculating H, S and a V mean value of all red pixel points of the red top and white top speck of the Dantop red and white Carpio in the HSV color model image according to the threshold ranges of the hue H value, the saturation S value and the lightness V value of the red top and white body surface, simultaneously extracting and calculating H, S and a V mean value of all white pixel points of the bottom color of the Dantop red and white Carpio body surface in the HSV image, and displaying the pixel points H, S and the V mean value of the two characteristic colors in respective value domain range bar graphs.
4. The method for quantitatively evaluating the color of the danding red koi as claimed in claim 1, wherein the preset color evaluation criteria specifically include: the sensory evaluation of the red and white top color and the white bottom color of the red and white top color carps is carried out on the basis of three indexes of a hue H value, a saturation S value and a brightness V value, and the most important point is to determine the bright hue of the red and white top color carps, wherein the saturation is full and uniform, the brightness is bright and bright, the important degree is the hue > the saturation > the brightness, the white hue of the body surface bottom color is pure white, the saturation is full and uniform, the brightness is bright and bright, and the important degree is the saturation > the brightness.
5. The method as claimed in claim 1, wherein the color evaluation mathematic model for danding red koi color evaluation is obtained by weighting and summing the hue H value, saturation S value and lightness V value of the color feature value and the corresponding weight values, respectively, that is:
wHSV＝wH*H+wS*S+wV*V
wH+wS+wV＝1
wherein, wH is the weight value of the color hue H value; wS is the weight of the color saturation S value; wV is the weight value of the color brightness V value; h is a color hue H value, taking the H value in an HSV color model in a computer vision algorithm library, wherein the range of the H value of red is 0-10 or 156-180, and the range of the H value of white is 0-180; s is a color saturation S value, the S value in an HSV color model in a computer vision algorithm library is taken, the range of a red S value range is 43-255, and the range of a white S value range is 0-30; and V is a color brightness V value, the V value in an HSV color model in a computer vision algorithm library is taken, the range of the red V value is 46-255, and the range of the white V value is 221-255.
6. A quantitative evaluation device for the color of Danding red white koi is characterized by comprising: the apparatus performs the quantitative evaluation method of the color of the Danding red koi according to any one of claims 1 to 5.
7. A quantitative evaluation system for the color of the Danding red koi, which is characterized by comprising the quantitative evaluation device for the color of the Danding red koi as claimed in claim 6, and further comprising an image acquisition device for the Danding red koi;
the image acquisition device is used for shooting images of the Danding red kohlrabi, and specifically comprises a Danding red kohlrabi breeding water tank, a support frame, a high-definition industrial camera and a portable computer; the support frame is a right-angle support formed by a horizontal support rod and a vertical support rod; one end of the horizontal supporting rod extends to the position above the danding red and white koi breeding water tank, the end face of the horizontal supporting rod is connected with the high-definition industrial camera, and the high-definition industrial camera is electrically connected with the portable computer; one end of the vertical supporting rod is detachably connected with the danding red white koi breeding water tank through a clamping device.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608673A (en) * | 2015-12-16 | 2016-05-25 | 清华大学 | Image color quantization and jittering method and system |
| CN106778788A (en) * | 2017-01-13 | 2017-05-31 | 河北工业大学 | The multiple features fusion method of aesthetic evaluation is carried out to image |
| CN109510974A (en) * | 2018-12-20 | 2019-03-22 | 天津天地伟业信息系统集成有限公司 | A kind of white balancing treatment method based on the domain HSV |
| CN111811653A (en) * | 2019-04-10 | 2020-10-23 | 中国石油天然气股份有限公司 | Color asphalt color evaluation device and evaluation method thereof |
| CN112837300A (en) * | 2021-02-09 | 2021-05-25 | 浙江农林大学 | Quality evaluation method for golden ring of black tea soup |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102323267A (en) * | 2011-08-10 | 2012-01-18 | 中国农业大学 | System and method used for rapidly evaluating freshness of raw meat products |
| WO2014027523A1 (en) * | 2012-08-17 | 2014-02-20 | ソニー株式会社 | Image-processing device, image-processing method, program and image-processing system |
| CN104463919A (en) * | 2015-01-07 | 2015-03-25 | 上海添美信息技术有限公司 | Full-pixel color analysis method for evaluating skin pigments |
| CN106952313A (en) * | 2017-03-21 | 2017-07-14 | 北京工商大学 | Skin complexion evaluation method based on HSI and Lab blend color models |
| CN108009128B (en) * | 2017-11-15 | 2021-01-01 | 东旭光电科技股份有限公司 | Method for evaluating molten glass uniformity |
| CN110610316A (en) * | 2019-09-18 | 2019-12-24 | 王剑丽 | Quality grade evaluation method for jade ornaments |
| CN112700059B (en) * | 2021-01-08 | 2024-04-05 | 上海中医药大学 | Quality evaluation method of traditional Chinese medicine salvia miltiorrhiza and application thereof |
| CN112884735A (en) * | 2021-02-09 | 2021-06-01 | 浙江农林大学 | Evaluation method for color quality of green tea soup |
-
2021
- 2021-10-27 CN CN202111256443.3A patent/CN113989227B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105608673A (en) * | 2015-12-16 | 2016-05-25 | 清华大学 | Image color quantization and jittering method and system |
| CN106778788A (en) * | 2017-01-13 | 2017-05-31 | 河北工业大学 | The multiple features fusion method of aesthetic evaluation is carried out to image |
| CN109510974A (en) * | 2018-12-20 | 2019-03-22 | 天津天地伟业信息系统集成有限公司 | A kind of white balancing treatment method based on the domain HSV |
| CN111811653A (en) * | 2019-04-10 | 2020-10-23 | 中国石油天然气股份有限公司 | Color asphalt color evaluation device and evaluation method thereof |
| CN112837300A (en) * | 2021-02-09 | 2021-05-25 | 浙江农林大学 | Quality evaluation method for golden ring of black tea soup |
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