A collection of image processing algorithms written in pure Go.

In water index calculation, gets the best threshold and full area of water according to known parts or approximation of water.

Computer Vision and Image Recognition algorithms for R users

This projects reflects the 3D reconstruction of a protein aggregate, after a careful processing (filtering, segmentation, reconstruction) of a set of slices of a protein aggregate.

`torch.compile`-compatible image binarization algorithm implemented in PyTorch.

Files accompanying the paper "Segmentation of Blood Cell Images Using Evolutionary Methods", published in 2013.

Using together cv2's findcontours and Haarcascade license plate detection together with the application of an extensive set of filters

Through the use of Contrast Limited Adaptive Histogram Equalization (CLAHE) filters, completed with otsu filters, a direct reading of car license plates with success rates above 70% and an acceptable time is achieved

A recognition licenses plates based in FindContours

From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.

From some files of images and labels obtained by applying the project presented at https://github.com/ashok426/Vehicle-number-plate-recognition-YOLOv5, the images of license plates are filtered through a threshold that allows a better recognition of the license plate numbers by pytesseract. On 05/23/2022, a new version is introduced. On 07/04/20…

OCR from scratch using Chars74 Dataset: http:https://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ applied to the case of Spanish car license plates or any other with format NNNNAAA. The hit rate is lower than that achieved by pytesseract: in a test with 21 images, 12 hits are reached while with pytesseract the hits are 17.

Otsu's method thresholding and image binarization on GPU in CUDA

OTSU method is a global adaptive binarization threshold image segmentation algorithm.

Basic numpy implementation of Otsu and Niblack algoritms

Proyecto que consiste en segmentar y reconocer los caracteres de una matricula de coche

A Canny edge detection function implemented by us from scratch that can use either double thresholding, recursion, or the otsu's thresholding method for an adaptive threshold. Algorithm used for Otsu's method and the recursive approach can be seen in the papers included in this repository.

Two-Stage Multithreshold Otsu method.

An Editor to perform rotation,conversion of the color model,Histogram equalization,Histogram chart,Mean filtering,and converting to the binary color of an image.

Implementation of a Shape Detection pipeline for recognizing those famous traffic bollards found in Amsterdam without any Image Processing libraries