Explore MATLAB source code curated for "图像检索" with clean implementations, documentation, and examples.
Image retrieval in MATLAB involves computing the distance (dis) between the query image and images in the database, then identifying the most similar image based on the minimum dis value, which indicates the same category as the query image.
Implementation of mean-shift algorithm for image retrieval with image similarity comparison and closest matching image selection
Image retrieval using cumulative color histogram method, including core program implementation, image dataset, and comprehensive WORD documentation
A color-based image retrieval system featuring dual image databases and implementing a block-based image retrieval approach for enhanced matching accuracy.
An image retrieval approach leveraging multi-feature characterization and DPF region matching for enhanced accuracy and efficiency
A color-based image retrieval system featuring a custom graphical user interface (GUI) for intuitive visual interaction and streamlined image search operations
A MATLAB GUI-based image retrieval system implementing integrated color, texture, and shape features for efficient image similarity matching and search functionality.
An image retrieval system based on Harris interest points featuring comprehensive implementation including feature extraction, feature matching algorithms, and result return mechanisms.
MATLAB implementation of the classic SIFT method for image retrieval, authored by a renowned scholar from NTU with comprehensive annotations.
Advanced image retrieval methodology combining color moments for color feature extraction and Gabor wavelet transform for texture analysis, with implementation insights for feature vector computation and matching algorithms.