Programs to detect clusters in data using GMM and compressed images (Color Quantization) using k-means clustering methods, detect bone fragments in an X-ray image using Segmentation and de-noise binary images using Morphological Image Processing.

Demonstration of a few useful segmentation algorithms.

This repository contains the code and evaluation results for the paper: "Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm"

This is a web based application which takes as input the image of a handdrawn flow chart with text and polygonal hapes, and digitailzes it.

Codes written for assignments of CS60052 (Spring'20)

✋ Hand detection and segmentation using multimodal information from Kinect

Making Grid Lines Visible from a Image using opencv python

Morphological operations in image processing.

Using a neural network for obstacle detection and localization in the Turtlebot3 robot environment.

This software was designed to improve the time of manual digital images processing of big image datasets

Evolves a string of morphological operators for CNN training on the CIFAR-10 dataset.

A Python Implementation of "Opening and Closing Surfaces"

This project is a Python-based image processing application using PyQt5 and OpenCV. It allows users to perform various image processing tasks such as color adjustments, morphological operations and more.

A simple algorithm to perform lane detection and turn prediction for a self driving car

The project is designed to segment an image into rover, background, and shadows using a stepwise image processing algorithms. This includes color space conversion, blurring, normalization, optional contrast enhancement, feature reshaping, k-means clustering, mask merging, and morphological refinement.

Train a probabilistic color model to recognize recycling-bin blue color and use it to segment unseen images into blue regions.

Coding solutions to multiple image processing problems like distance calculation, noise, contrast, and compression using different techniques like Distance Transform, Low-Pass Filters, Morphological Operators, and LZW Compression

This script finds the edges of a conveyor band in a given image.