Image Processing techniques using OpenCV and Python.

nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.

It is a desktop application that performs license plate recognition from vehicle photos.

Fast pairwise nearest neighbor based algorithm with C# console

Coding computer vision related algorithms from "scratch".

Mother machine image analysis through napari

In this project , i buid some computer vision algorithm using pgm image and pnm in c

This program is implemented to count the number of cells in the image. The cells are also labeled and the perimeter and area are calculated for each cell.

nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.

This application can be used to quickly view how different Thresholding Methods work on images. Selected threshold method can be applied for bulk images in a folder, results are saved in a user selected folder with histograms.

A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region-Based Otsu Thresholding

Segmentation of Brain tumor from noisy images using various Filters and Segmentation algorithms using Matlab.

This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. …

Two-Stage Multithreshold Otsu method.

Image Processing Algorithms implemented from scratch with in-built concurrency support <3

Fast pairwise nearest neighbor based algorithm with Java Swing

Shuffled Complex Evolution Image Segmentation

A high-fps and pure image processing algorithm for quailty control on mirror production.

This repository has the presentation and code for a mini project that my team worked for as a part of the course Computer Vision (CSE3006) at VIT Bhopal. Otsu's Binarization and Hough Transform are the key highlighting methodologies used here.

Application of Image Segmentation algorithms to understand “How sustainable is the pace of Urbanisation & Net land usage?” scoped on two geographical locations.