Analyzed Google Satellite images to generate a report on individual house rooftop's solar power potential

Some matlab code of Active Contour Model for image segmentation

Deep snake algorithm for 2D images based on ICLR2020

Image Segmentation for Intensity Inhomogeneity in Presence of High Noise - deformable model

Fully supervised binary classification of skin lesions from dermatoscopic images using multi-color space moments/texture features and Support Vector Machines/Random Forests.

Implementation of Interactive GPU Active Contours (IGAC) published at JRTIP

Object boundary finder using active contours

👀 Classic computer vision algorithms implemented in Matlab

🩻🔬 Smart Medical Imaging in MATLAB: level-set segmentation and rigid registration of DICOM images with Chan-Vese, Malladi-Sethian, and NCC/SSD/MI metrics

Used Active Contours to segment a leaf from a noisy background. Apply feature detection algorithms to classify the disease.

DeepSee is an image processing project that applies advanced spatial and frequency domain techniques for filtering, segmentation, boundary detection, and facial recognition. It features a responsive GUI with multiprocessing, multithreading, and both dark and light modes.

Automated Left Ventricle Segmentation & Ejection Fraction (EF) estimation using Computer Vision. A comparative study between Geodesic Active Contours and Marker-Controlled Watershed on the EchoNet-Dynamic dataset.

Active Contour Models (Snakes)

A Python collection of advanced image processing algorithms implemented from scratch, including K-Means clustering, Mean-Shift segmentation, SLIC superpixels, interactive GrabCut, and Active Contours (Snakes).

Machine vision concepts and algorithms implemented in C

🌇Syracuse CSE 691 Image and Video Processing

Laboratory of Mathematical Methods of Image Processing tasks

This project implements an active contour method for image segmentation (done at the Level-set and image processing course in 3A ENSIMAG).