Makes all chrome pages grayscale with a single click.

This program demonstrates the usage of cosine similarity in designing an object detection algorithm

Simple image processing library written in Go

Using openCV to preprocess training data before it is fed into a deep neural network. Using openCV to identify lane lines

This repository contains MATLAB scripts for performing basic image processing tasks on grayscale images, including brightness and contrast adjustments, negative image creation, and arithmetic operations (addition, subtraction, multiplication, division) between two images.

Implementation of Otsu's Method for automatic, adaptive image binarization. Computes optimal global thresholds by maximizing between-class variance using OpenCV and Python.

Introductory image processing project built during Deep Learning course at Tehran Data

Image-to-pencil-sketch converter using OpenCV. Transforms photos into realistic pencil sketches through grayscale conversion, inversion, Gaussian blur, and division blending.

Connected Component Labeling for object detection — coin counting, car counting, and number plate recognition, benchmarked against OpenCV's built-in CCL

Analyzes image histograms, performs histogram equalization, and compares grayscale images.

This repository contains MATLAB scripts for fundamental image processing tasks, including RGB-to-grayscale, indexed, and binary image conversions. It also includes tasks such as generating black, white, and contrast-inverted images, as well as plotting a 2D function.