Bilateral Filter for Image Enhancement
Implementation of bilateral filter for image enhancement and noise removal, featuring spatial and range domain filtering with customizable parameters.
Video Image Segmentation Using Optical Flow Method
This implementation utilizes the Lucas-Kanade algorithm for motion estimation, developed in MATLAB. The choice of MATLAB was strategic since it provides built-in matrix operation functions, eliminating the need for custom implementation and significantly reducing development time while preserving core algorithmic concepts.
Edge Detection
Performing edge detection on images provides valuable reference information for computer vision applications
DCT Transform
DCT Transform for Signal and Image Processing with Code Implementation Insights
SSIM Structural Similarity Index
Structural Similarity Index for Image Quality Assessment
SAD Stereo Matching Algorithm
Implementation of the SAD stereo matching algorithm using standard images from vision databases without requiring rectification, producing stable disparity maps through robust pixel-wise comparison.
Fuzzy Image Clustering Techniques
Implementation of Fuzzy Image Clustering Algorithms in MATLAB Environment
Stereo Matching
This file contains implementation for computing disparity maps from left and right stereo images. The algorithm processes input stereo pair images and generates corresponding disparity maps using standardized images from the Middlebury vision database.
FAST Feature Detection
Implementation for extracting FAST feature points from images with optimized corner detection