SE537154C2 - Image processing method and device for dynamic auto-adjustment of IR image - Google Patents
Image processing method and device for dynamic auto-adjustment of IR image Download PDFInfo
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- SE537154C2 SE537154C2 SE1130109A SE1130109A SE537154C2 SE 537154 C2 SE537154 C2 SE 537154C2 SE 1130109 A SE1130109 A SE 1130109A SE 1130109 A SE1130109 A SE 1130109A SE 537154 C2 SE537154 C2 SE 537154C2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration using histogram techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
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Description
537 154 BILDBEHANDLINGSMETOD OCH ANORDNING FOR DYNAMISK AUTOJUSTERING AV IR-BILD FOreliggande uppfinning avser en metod fdr bildbehandling innefattande autojustering av IR-bild. Därtiil avser uppfinningen en anordning for bildbehandling innefattande registreringsanordning for bild, bildbehandlingsenhet, samt bildvisningsenhet for bild. The present invention relates to a method for image processing comprising auto-adjusting an IR image. To this end, the invention relates to an image processing device comprising an image recording device, an image processing unit, and an image display unit for an image.
Olika losningar for bildbehandling som exempelvis olika former av filtering eller fOrstarkning av detaljer är vdlkanda tekniker for att forbdttra en registrerad bilds visualisering. Aven olika typer av komprimering, nivajustering och/eller 'fargsattningsmetoder av bildinformation är kanda, dels for att minska bildens informationsinnehall och darmed fâ bilder med mindre informationsmdngd, men awn for att anpassa bilden fOr bildens betraktare. En manniska har som betraktare en begrdnsad formaga att sarskilja saval detaljer som olika larger och graskalor. Different solutions for image processing, such as various forms of filtering or amplification of details, are well-known techniques for improving the visualization of a registered image. Different types of compression, level adjustment and / or coloring methods of image information are also known, partly to reduce the information content of the image and thereby obtain images with a smaller amount of information, but also to adapt the image to the viewer of the image. As a viewer, a human being has a limited ability to distinguish between such details as different sizes and grass scales.
System for att registrera och visa bilder tagna i det infraroda vaglungdsomradet har anvant olika former av bildbehandling fOr att forbdttra visualiseringen av den registrerade bilden. Systems for recording and displaying images taken in the infrared wandering area have used various forms of image processing to improve the visualization of the recorded image.
Ett exempel pa bildregistrering i det infraroda vaglangdsomradet är IR-video eller IRfotografering dar IR star fOr infrarod. Detaljer och struktur i IR-video utgtirs normalt av sma variationer i signalstyrka inom ett lokalt omrade. Samtidigt kan det totala dynamikomfanget i en enskild bild vara stort. Skillnaden i signalniva mellan ett kallt omrade och ett varmt omrade kan ge upphov till att 2 nivaer kan registreras, dar 26 är den digitala dynamiken i systemet for att registrera bilder. I fallet 216 ges ca 65000 nivaer. Typiskt skall denna signal komprimeras sa att dess totala dynamikomfang blir 8 bitar eller 256 distinkta larger innan den visas for en operator. Orsaken till detta är en anpassning till videostandarder. En ren linjdr komprimering av signalen är nastan alltid oldmplig dá ett litet omrade med starkt avvikande signalniva riskerar att anvanda alit dynamikomfang varpa en bild med i princip ett fatal farg- och graskalenivaer ras. An example of image recording in the infrared wavelength range is IR video or IR photography where IR is infrared. Details and structure of IR video are usually based on small variations in signal strength within a local area. At the same time, the total dynamic range in an individual image can be large. The difference in signal level between a cold area and a warm area can give rise to the fact that 2 levels can be registered, where 26 is the digital dynamics in the system for registering images. In case 216, about 65,000 levels are given. Typically, this signal must be compressed so that its total dynamic range becomes 8 bits or 256 distinct larger before it is displayed to an operator. The reason for this is an adaptation to video standards. A pure linear compression of the signal is almost always out of the question as a small area with strongly deviating signal levels risks using a high dynamic range to warp an image with in principle a fatal color and grass scale levels.
I den aktuella IR-bilden, awn kallad IR-scenen, anpassas farglaggning och nivajustering utifran i bilden forekommande objekts och bakgrunders IR-straining. Finns det saledes 1 537 154 extremer, som exempelvis en kall himmel, sá kan bilden justeras sa att detalj information forsvinner fran bilden. Bildbehandling sker foretradesvis genom matematiska metoder pa en digital representation av den registrerade bildens informationsinnehall. In the current IR image, awn called the IR scene, color grading and level adjustment are adjusted based on the IR straining of the objects and backgrounds present in the image. Thus, if there are 1,537,154 extremes, such as a cold sky, then the image can be adjusted so that detail information disappears from the image. Image processing is preferably done by mathematical methods on a digital representation of the registered image's information content.
De idag forekommande metoderna fir autojustering anvander ofta en fast del av bilden som berakningsunderlag for nivajustering. Ett histogram beraknas utifran den fasta delen av bilden och anvands for fdrgsattning och nivajustering av bilden. Forekommer i denna del av bilden ett temperaturmassigt avvikande objekt, som exempelvis en kall himmel, sá kan nivajusteringen komma att bli olamplig. Den kalla himmelen medfor att dynamiken i bilden begransas och att detaljer, som relativt varandra har lag temperaturvariation, inte sarskiljs. The current methods for auto-adjustment often use a fixed part of the image as a calculation basis for level adjustment. A histogram is calculated from the fixed part of the image and is used for setting and leveling the image. If there is a temperature-deviating object in this part of the image, such as a cold sky, the level adjustment may become inappropriate. The cold sky means that the dynamics of the image are limited and that details, which have a relative temperature variation relative to each other, are not distinguished.
Ett syfte med foreliggande uppfinning är att foresla en metod for autojustering av bildinformation sá att detaljinformationen i bilden behalls. An object of the present invention is to propose a method for auto-adjusting image information so that the detailed information in the image is retained.
Andra syften med uppfinningen beskrivs mer i detalj i samband med den detaljerade beskrivningen av uppfinningen. Other objects of the invention are described in more detail in connection with the detailed description of the invention.
Uppfinningen avser en bildbehandlingsmetod for autojustering av IR-bild dar ftiljande steg innefattas; en originalbild skaffas, en detaljinformationsbild beraknas utifran originalbilden, (C) ett omrade i originalbilden väljs utifran innehallet i detaljinformationsbilden, ett spridningsmatt beraknas utifran valt omrade, en autojusterad bild beraknas utifran att originalbilden skalas med spridningsmattet. The invention relates to an image processing method for auto-adjusting an IR image in which additional steps are included; an original image is obtained, a detailed information image is calculated from the original image, (C) an area in the original image is selected from the contents of the detailed information image, a spreading mat is calculated from the selected area, an auto-adjusted image is calculated based on the original image being scaled with the spreading mat.
Enligt ytterligare aspekter fOr det forbattrade bildbehandlingsmetoden fOr autojustering av IR-bild enligt uppfinningen galler; att detaljinformationsbilden ar en Tenengrad-bild. att Tenengrad-bilden beraknas med en Sobel-operator. att omradet i originalbilden valjs genom att en anvandare av bildbehandlingsmetoden anger ett omrade. 2 537 154 att omradet i originalbilden valjs automatiskt utifran varden i detaljinformationsbilden. att spridningsmattet är en histogramberakning. According to further aspects of the improved image processing method for auto-adjusting the IR image according to the invention, grids; that the detail information image is a Tenengrad image. that the Tenengrad image is calculated with a Sobel operator. that the area of the original image is selected by a user of the image processing method specifying an area. 2 537 154 that the area in the original image is automatically selected based on the value in the detail information image. that the scattering mat is a histogram calculation.
Vidare utgors uppfinningen av en anordning for bildbehandling innefattande registreringsanordning fOr bild, bildbehandlingsenhet, samt bildvisningsenhet fOr bud dar; (a) en originalbild skaffas med registreringsanordningen, (b) en detaljinformationsbild beraknas i bildbehandlingsenhet utifran originalbilden, ett omrade i originalbilden valjs i bildbehandlingsenhet utifran innehallet i detaljinformationsbilden, ett spridningsmatt beraknas i bildbehandlingsenheten utifran valt omrade i originalbilden, (e) en autojusterad bud beraknas genom att originalbilden skalas med spridningsmattet i bildbehandlingsenheten, (f) den autojusterade bilden visualiseras i bildvisningsenheten. Furthermore, the invention consists of a device for image processing comprising a recording device for image, image processing unit, and image display unit for bids; (a) an original image is obtained with the recording device, (b) a detailed information image is calculated in the image processing unit based on the original image, an area in the original image is selected in the image processing unit based on the contents of the detailed information image, a spreading mat is calculated in the image processing unit based on the original image. by scaling the original image with the scatter mat in the image processing unit, (f) the auto-adjusted image is visualized in the image display unit.
Enligt ytterligare aspekter for det fOrbattrade anordning fOr bildbehandling enligt uppfinningen galler; att registreringsanordningen for bild är en IR-kamera. att detaljinformationsbilden är en Tenengrad-bild. att Tenengrad-bilden beraknas med en Sobel-operator. att omradet i originalbilden valjs genom att en anvandare av bildbehandlingsmetoden anger ett omrade utifran en i bildvisningsenheten visad originalbild. att omradet i originalbilden valjs automatiskt i bildbehandlingsenheten utifran varden i detaljinformationsbilden. att spridningsmanet är en histogramberdkning. 3 537 154 Uppfinningen kommer i det foljande att beskrivas nal-mare under hanvisning till de bifogade figurerna ddr: Fig. 1 visar blockschema for bildbehandlingsmetod for autojustering av IR-bild enligt uppfinningen. According to further aspects of the improved image processing device according to the invention; that the image recording device is an IR camera. that the detail information image is a Tenengrad image. that the Tenengrad image is calculated with a Sobel operator. that the area of the original image is selected by a user of the image processing method specifying an area based on an original image displayed in the image display unit. that the area in the original image is automatically selected in the image processing unit based on the value in the detail information image. that the spreading jellyfish is a histogram. The invention will be described in more detail below with reference to the accompanying figures ddr: Fig. 1 shows a block diagram of the image processing method for auto-adjusting the IR image according to the invention.
Fig. 2 visar blocksehema for komponenter i ett bildbehandlingssystem enligt uppfinningen. Fig. 2 shows the block diagrams for components in an image processing system according to the invention.
Ett blockschema for bildbehandlingsmetod for autojustering av IR-bild enligt uppfinningen visas i fig. 1. Originalbilden 2 bildbehandlas och korrigeras for exempelvis fOrstarkning, eller gain, offset och brusreducering, innan en kantdetektering 3 sker av exempelvis Sobel-operatorn eller annan kantdetekterande operator sasom standardavvikelse, Prewitt-operator eller Roberts-operatorn. Gemensamt for de kantdetekterande operatorerna är att kanter i den registrerade bilden detekteras och/eller forstdrks och/eller bevaras. Kantdetekterande lagpassfilter och kantdetekterande operatorer är val kanda och beskrivna i litteraturen och behandlas ej mer ingdende i ansokningstexten. En detaljinformationsbild 4, dven kallad en detaljbild, skapas utifran originalbilden 2 efter blocket kantdetektering 3. I detaljinformationsbilden 4 kan originalbildens detalj information bestammas och/eller identifieras. Utifran detaljinformationsbilden 4 sker ett urval av vilket omrAde i detaljinformationsbilden 4 och darmed originalbilden 2 som bar anvandas for berakning av ett spridningsmatt. Val av omride 5 kan ske i originalbilden 2, detaljinformationsbilden 4 eller den autojusterade bilden 8. Det utvalda omradet kan bestammas manuellt av en operator eller automatiskt av en bildbehandlingsenhet. Vid manuell bestamning av omradet kan val av omrade 5 ske runt ett objekt som beclams som intressant. Vid automatiskt val av omradet 5 kan omradet valjas utifran algoritmer for bilddetektering, exempelvis detektering av ett fordon, eller utifran ett berdknat matt. OmrAdet bestams av en box och storleken pa boxen kan varieras av anvandaren. Om ett automatiskt val av ornradet sker kan en box skapas runt det intressanta objektet, exempelvis ett fordon, men kan awn anpassas for att exkludera fordonet for att battre visualisera omradet kring fordonet. Det är aven tankbart att det valda omradet bestar av flera separerade boxar som tillsammans fungerar som underlag for beaming av ett spridningsmatt. Anvandaren kan andra boxens storlek och placering samt troskelvdrden fOr att anpassa den autojusterade bilden sa den larnpar sig for anvandarens behov. Aven efter en automatisk generering av en box runt ett omrAde kan anvandaren modifiera och anpassa installningarna utifran 4 537 154 anvandarens behov. Den autojusterade bilden bestams av ett spridningsmatt som skapas utifran innehallet i originalbilden Over det valda omradet. TrOskelvarden, awn bendmnt threshold, kan sattas automatiskt utifran bildens totala dynamik eller den valda boxens dynamik alternativt utifran anvdndarens behov och manuellt inmatade varden. A block diagram of the image processing method for auto-adjusting the IR image according to the invention is shown in Fig. 1. The original image 2 is image processed and corrected for eg amplification, or gain, offset and noise reduction, before an edge detection 3 by eg the Sobel operator or other edge detecting operator. , Prewitt operator or Roberts operator. Common to the edge detecting operators is that edges in the registered image are detected and / or enhanced and / or preserved. Edge-detecting layer-pass filters and edge-detecting operators are selected and described in the literature and are no longer dealt with in detail in the application text. A detailed information image 4, also called a detailed image, is created from the original image 2 after the edge detection block 3. In the detailed information image 4, the detail information of the original image can be determined and / or identified. From the detail information image 4 a selection is made of which area in the detail information image 4 and thus the original image 2 which was to be used for calculating a spreading mat. Selection area 5 can be made in the original image 2, the detail information image 4 or the auto-adjusted image 8. The selected area can be determined manually by an operator or automatically by an image processing unit. When manually determining the area, selection of area 5 can take place around an object that is considered interesting. When automatically selecting the area 5, the area can be selected on the basis of algorithms for image detection, for example detection of a vehicle, or on the basis of a bare mat. The area is determined by a box and the size of the box can be varied by the user. If an automatic selection of the line is made, a box can be created around the object of interest, for example a vehicle, but can be adapted to exclude the vehicle in order to better visualize the area around the vehicle. It is also conceivable that the selected area consists of several separated boxes which together serve as a basis for beaming a spreading mat. The user can adjust the size and location of the second box as well as the threshold value to adjust the auto-adjusted image so that it adapts to the user's needs. Even after an automatic generation of a box around an area, the user can modify and adapt the installations based on the user's needs. The auto-adjusted image is determined by a spreading mat created from the contents of the original image Over the selected area. The threshold value, awn bendmnt threshold, can be set automatically based on the total dynamics of the image or the dynamics of the selected box or alternatively based on the user's needs and manually entered values.
Traskelvardena definierar den dynamik inom vilken boxens koordinater skapas. Den autojusterade bilden anpassas for operatoren med troskelvdrdena. Storlek och form pa boxen samt antal boxar anpassas utifran applikationen och kan varieras beroende pa utrustning, operator och omgivning. The threshold values define the dynamics within which the box coordinates are created. The auto-adjusted image is adjusted for the operator with the threshold values. The size and shape of the box as well as the number of boxes are adapted based on the application and can be varied depending on equipment, operator and environment.
Ett spridningsmatt berdknas utifran det utvalda omradet. Spridningsmattet berdknas i blocket berdkning av spridningsmatt 6. Metoder for att berdkna spridningsmatt, som exempelvis histogram eller standardavvikelse, berors ej vidare i ansokningstexten da det är val kant i litteraturen. Aven andra matt for berdkning av spridningen kan forekomma. I blocket autojustering utifran spridningsmatt 7 sa justeras originalbilden 2 utifran det beraknade spridningsmattet. Originalbilden kan hdr aven belt eller delvis modifieras med annan bildinformation for att Rif-Mita informationsinnehallet i den bild som presenteras for en operator av utrustningen som tillampar metoden fir bildbehandling. Originalbilden kan exempelvis bildbehandlas med olika typer av filter eller forstdrkningar forutom autojustering med spridningsmatt. Exempelvis kan information relaterat till kantdetektering fciras till originalbilden innan bilden presenteras for en operator. Den autojusterade bilden 8 innehaller en bildbehandlad och autojusterad version av originalbilden 2 och är anpassad for den aktuella tillampningen och/eller utrustningen. A spreading mat is calculated from the selected area. The spreading mat is calculated in the block calculation of spreading mat 6. Methods for calculating spreading mat, such as histogram or standard deviation, are not further discussed in the application text as it is a choice edge in the literature. Other mats for covering the spread may also occur. In the auto-adjustment block based on spreading mat 7, the original image 2 is adjusted based on the calculated spreading mat. The original image can also be belted or partially modified with other image information to Rif-Mita the information content of the image presented to an operator of the equipment applying the image processing method. The original image can, for example, be image processed with different types of filters or reinforcements in addition to auto-adjustment with spreading mat. For example, information related to edge detection can be transferred to the original image before the image is presented to an operator. The auto-adjusted image 8 contains an image-processed and auto-adjusted version of the original image 2 and is adapted for the current application and / or equipment.
I fig. 2 visas ett blockschema for komponenter i ett bildbehandlingssystem 10 enligt uppfinningen. Bildbehandlingssystemet 10 bestar av en registreringsanordning 11 som är en bildhamtningsenhet och kan vara en kamera eller bildsensor, en bildbehandlingsenhet 12 samt en bildvisningsenhet 13. Registreringsanordningen 11 registrerar en bild pa det mai eller omthcle mot vilket bildhamtningsenheten riktats. Fig. 2 shows a block diagram of components of an image processing system 10 according to the invention. The image processing system 10 consists of a recording device 11 which is an image capture unit and may be a camera or image sensor, an image processing unit 12 and an image display unit 13. The recording device 11 records an image of the object or object to which the image capture device is directed.
Registreringsanordningen 11 är foretrddesvis i detta fall en IR-kamera men kan awn vara andra typer av bildhdmtande utrustning sa som kameror eller sensorer. I det fall registreringsanordningen 11 är en IR-kamera sá registreras den frail objekten i registreringsanordningens vy utsanda IR-straining. Bildbehandlingsenheten 12 behandlar bilden fran registreringsanordningen 11 med for dndamalet ldmpliga algoritmer. Exempel pa ldmpliga algoritmer är kantforstarkning, komprimering, brusreducering och andra typer av filtreringsalgoritmer, autojusteringsalgoritmer respektive bildmodifieringsalgoritmer. Bildbehandlingen utfors foretradesvis i 537 154 programmerbar elektronik innefattande milcroprocessorer och/eller signalprocessorer. Bildbehandlingsenheten 12 utgors saledes av anordning for bantering av bildinformation fran registreringsanordningen 11, anordning for att bildbehandla bildinformationen frail bildhamtningsenheten samt anordning for att overfora den bildbehandlade bildinformationen till en bildvisningsenhet 13. Bildvisningsenheten 13 kan utgoras av en display eller annan optisk visualiseringsutrustning anpassad utifran bildbehandlingssystemets 10 anvandning och installation. Bildvisningsenheten 13 och/eller bildbehandlingsenheten 12 innefattar aven anordningar for kontroll av bildbehandlingssystemet 10 sá som angivande av troskelnivaer och storlek av box i fallet bildbehandlingsmetod for autojustering tillampas. Anordning for kontroll av bildbehandlingssystemet 10 kan exempelvis vara pekdon, tangentbord eller pekskarm. The recording device 11 is preferably in this case an IR camera but may be other types of imaging equipment such as cameras or sensors. In the case where the recording device 11 is an IR camera, then the frail object in the view of the recording device transmits IR radiation. The image processing unit 12 processes the image from the recording device 11 with algorithms suitable for that purpose. Examples of exemplary algorithms are edge enhancement, compression, noise reduction and other types of filtering algorithms, auto-adjustment algorithms and image modification algorithms, respectively. The image processing is preferably performed in 537,154 programmable electronics including milcoproprocessors and / or signal processors. The image processing unit 12 thus consists of a device for processing image information from the recording device 11, a device for processing the image information from the image retrieval unit and a device for transferring the image processed image information to an image display unit 13. The image display unit 13 may be a display or other optical visualization equipment adapted from image processing equipment 10. and installation. The image display unit 13 and / or the image processing unit 12 also includes devices for controlling the image processing system 10 such as indicating threshold levels and box size in the case of the image processing method for auto-adjustment being applied. Device for controlling the image processing system 10 may be, for example, pointing device, keyboard or touch screen.
Uppfinningen är inte begransad till de speciellt visade utthringsformerna utan kan varieras pa olika satt inom patentkravens ram. The invention is not limited to the particular embodiments shown but can be varied in various ways within the scope of the claims.
Det inses att ovan beslcrivna metoden for bildbehandling och/eller den anordning for registrering av bild, bildbehandling och presentation av bildbehandlad bild kan tillampas fOr i princip alla bildbehandlingssystem som IR-kameror, kameror eller andra optiska sensorer. 6 It will be appreciated that the method described above for image processing and / or the device for recording image, image processing and presentation of image processed image can be applied to in principle all image processing systems such as IR cameras, cameras or other optical sensors. 6
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| SE1130109A SE537154C2 (en) | 2011-11-09 | 2011-11-09 | Image processing method and device for dynamic auto-adjustment of IR image |
| PCT/SE2012/000175 WO2013070132A1 (en) | 2011-11-09 | 2012-11-05 | Image processing method for dynamic auto-adjustment of an ir image |
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| JP3756452B2 (en) * | 2002-01-18 | 2006-03-15 | 本田技研工業株式会社 | Infrared image processing device |
| US7623728B2 (en) * | 2004-03-24 | 2009-11-24 | General Electric Company | Method and product for processing digital images |
| CN101802866B (en) * | 2007-07-09 | 2012-12-12 | 前视红外系统公司 | Method of processing an infrared image, infrared image capturing system and computer readable medium |
| KR101348596B1 (en) * | 2008-01-22 | 2014-01-08 | 삼성전자주식회사 | Apparatus and method for immersive generation |
| KR101114698B1 (en) * | 2010-01-29 | 2012-02-29 | 삼성전자주식회사 | Apparatus and method for edge enhancement according to image characteristics |
-
2011
- 2011-11-09 SE SE1130109A patent/SE537154C2/en not_active IP Right Cessation
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2012
- 2012-11-05 WO PCT/SE2012/000175 patent/WO2013070132A1/en active Application Filing
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| Publication number | Publication date |
|---|---|
| WO2013070132A1 (en) | 2013-05-16 |
| SE1130109A1 (en) | 2013-05-10 |
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