Image Processing with openCV4 & Python

Normalização de imagens e treinamento de uma SVM para classificar lesões cerebrais

Image processing techniques for contrast enhancement

OCR from scratch using Chars74 Dataset: http://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.

A fast python implementation of CLAHE (Contrast Limited Adaptive Histogram Equalisation)

Detect text on a processed image of a RC using AWS Rekognition

A deep learning classification program to detect the CT-scan results using python

YOLOv8 and DeepSORT For Enhanced Road Safety

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

Build, adjust, and equalize histograms for image enhancement.

trying to improve the CLAHE color-enhancement methods

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.

show the best way among the given technics by investigating the comparisons.

Image Augmentation Techniques

Python utility to explore OpenCV parameters for drawing contours and selecting objects

YOLOv7 + DeepSORT

Histogram equalization in Rust