Feature Space Combining Color and Texture Characteristics
Implementation of color and texture combined feature space for Mean-shift tracking
Explore MATLAB source code curated for "纹理" with clean implementations, documentation, and examples.
Implementation of color and texture combined feature space for Mean-shift tracking
Modified Log Gabor wavelet image texture feature analysis with enhanced implementation
MATLAB source code for a texture-based Mean Shift target tracking algorithm, implementing the method from the paper "Robust Object Tracking using Joint Color-Texture Histogram" published in the International Journal of Pattern Recognition and Artificial Intelligence (2009)
A MATLAB GUI-based image retrieval system implementing integrated color, texture, and shape features for efficient image similarity matching and search functionality.
MATLAB program for image classification based on Principal Component Analysis, grayscale/color features, and texture analysis using Gray-Level Co-occurrence Matrix (GLCM), complete with sample images and implementation details.
Code implementation for region merging after oversegmentation, utilizing a multi-scale approach that integrates color, texture, and shape information for robust region combination
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.