Image processing assignments for CS663
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Updated
Nov 3, 2019 - HTML
Image processing assignments for CS663
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
🌐 This is visualization of KML files for road damage detection by AI tech.
Obstacle and free-space detection system for drones
Tissue classification of T1-weighted brain MR acquisitions using a hidden markov random field model.
Django server version for water bodies detection.
This project is a result of the requirements by Allwyn Corporation. It is an image processing and deep-learning based project focused on healthcare data . The project aims to perform image processing on CT Scans images of L3 slice and extract the various fats areas using Deep Learning to calculate the Visceral Fat Index.
The goal is to segment instances of microvascular structures, including capillaries, arterioles, and venules, to in automating the segmentation of microvasculature structures as it will improve researchers' understanding of how the blood vessels are arranged in human tissues.
Website of Turku Bioimaging - Image Data Team (TBI-IDAT) containing our current and past projects as well as software and tools we use.
An HSV-based Image Segmentation Web App using Flask, enabling users to explore color boundaries for precise segmentation.
Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.
33rd BMVC accepted paper
Textured Glass Project
2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification
Change detection in remote sensing
AI Assisted Image and Video Training Data Labeling @ Scale
Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data
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