Computer Vision Programs
Enhance the quality of low-light images with ease. This project utilizes CLAHE (Contrast Limited Adaptive Histogram Equalization) to improve visibility and reduce noise in images captured under challenging lighting conditions. Apply CLAHE to the Red, Green, and Blue channels of RGB images while preserving their original color.
Retina Preprocessing with CLAHE (Contrast limited adaptive histogram equalization)
Automated diamond segmentation using GrabCut with CLAHE preprocessing. Processes 57K+ images across 14 diamond shapes. Developed at MiNeD Hackathon, Nirma University.
🐍🎲 Python-powered Computer Vision project automating gameplay for the board game Dune Empire 🚀! The system accurately identifies and counts player units—colored cubes—in conflict zones ⚔️ and garrisons 🛡️ using image processing techniques! 🔍✨
🐍🎲 Python-powered Computer Vision project automating gameplay for the board game Dune Empire 🚀! The system accurately identifies and counts player units—colored cubes—in conflict zones ⚔️ and garrisons 🛡️ using image processing techniques! 🔍✨
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