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
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.
Active Contour Models (Snakes)
Machine vision concepts and algorithms implemented in C
This project implements an active contour method for image segmentation (done at the Level-set and image processing course in 3A ENSIMAG).
Laboratory of Mathematical Methods of Image Processing tasks
🌇Syracuse CSE 691 Image and Video Processing
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.
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.
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