🌇Syracuse CSE 691 Image and Video Processing

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

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

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

👀 Classic computer vision algorithms implemented in Matlab

Some matlab code of Active Contour Model for image segmentation

Deep snake algorithm for 2D images based on ICLR2020

Machine vision concepts and algorithms implemented in C

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

Object boundary finder using active contours

Active Contour Models (Snakes)

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

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

Laboratory of Mathematical Methods of Image Processing tasks

This projects reflects the 3D reconstruction of a protein aggregate, after a careful processing (filtering, segmentation, reconstruction) of a set of slices of a protein aggregate.

Simple Python implementation of the Snake (active contours) algorithm with code explanation and use of custom jpg image. Algorithm proposed by KASS, WITKIN and TERZOPOULOS in 1988.