Explore MATLAB source code curated for "区域" with clean implementations, documentation, and examples.
Utilizing Principal Component Analysis to detect copy-move forgery regions in digital images with effective detection performance. The implementation involves feature extraction, dimensionality reduction, and similarity matching algorithms.
Improved region-based image segmentation algorithm particularly suitable for noisy images! Successfully compiled and tested in MATLAB 6.5 environment
Harris Corner Detection Program with sample images, enabling users to select regions of interest via mouse interaction for corner extraction. Features clean code implementation suitable for beginners, with potential enhancements like automated corner detection and image preprocessing.
Harris corner detection program that enables region selection and threshold configuration through maximum/minimum corner count parameters, featuring gradient computation, matrix formulation, and corner response evaluation.
A widely-used MATLAB image region growing program that expands from a single seed point based on specified threshold conditions
A program for image clustering in image processing technology, designed to extract regions sharing identical grayscale values or other attributes from an image area.
A Python and OpenCV implementation for selecting and processing regions of interest (ROI) from images in formats like JPG and TIFF. Includes interactive ROI selection, display functionality, and post-processing operations with algorithm explanations and code structure details.
This region-based stereo matching algorithm extracts depth information from a pair of colored stereo images and uses filters to eliminate instability in depth estimation from disparity maps.
Calculating the minimum number of equal-sized circles required to completely cover a rectangular area, with verified execution results