Analysis of NPCR and UACI Metrics for Image Processing
Comprehensive Analysis of NPCR (Normalized Pixel Change Rate) and UACI (Unified Average Changing Intensity) for Image Quality Assessment
Explore MATLAB source code curated for "Image" with clean implementations, documentation, and examples.
Comprehensive Analysis of NPCR (Normalized Pixel Change Rate) and UACI (Unified Average Changing Intensity) for Image Quality Assessment
This MATLAB code implements quadtree-based image partitioning using a recursive approach for efficient image segmentation and processing.
A steganography tool implementing LSB (Least Significant Bit) hiding technique for covert data embedding in digital images
Comprehensive MATLAB implementation of single image dehazing techniques, featuring dark channel prior and physics-based models with practical code examples
Implementing image encryption using RSA algorithm with code-level security considerations
Comprehensive Guide to Image Filter Design: Algorithms, Implementation, and Applications
The snakes algorithm is a variational technique that optimizes contour alignment with images. The core implementation, snake.m, processes point sequences along a contour to maximize alignment with array or image gradients. Key inputs include the target image, initial contour points, and search space constraints, with outputs returning refined points for improved edge correspondence. The algorithm employs energy minimization through iterative gradient descent optimization.
Implementation of image feature extraction based on Hu's seven invariant moments, developed using MATLAB. This solution can be applied for robust image processing and pattern recognition tasks involving scale, rotation, and translation-invariant characteristic analysis.
Algorithm for vanishing point detection in images with code implementation insights
MATLAB code for image boundary tracing with clean, readable implementation and comprehensive technical insights