Explore MATLAB source code curated for "直方图" with clean implementations, documentation, and examples.
Image processing techniques integration based on MATLAB GUI, including histogram analysis, filtering, wavelet transforms, watermarking, segmentation, and more. Features adjustable parameters, detailed code comments for key functions, and completely original implementations. Shared for community exchange and learning purposes.
This MATLAB-based program implements the extraction of various parameter features essential for histogram analysis, including mean, variance, skewness, kurtosis, energy, and entropy. The code utilizes built-in statistical functions and custom calculations to accurately quantify distribution characteristics.
Implementing grid-based line filling patterns for MATLAB histograms with adjustable hatching angles through parameter A modifications
MATLAB image processing techniques covering histograms, image transforms, spatial filtering (image enhancement using templates), and edge detection operators with practical code implementations.
Histogram Equalization for Image Enhancement
Comparing Probability Density Functions (PDFs) and Gaussian distributions in communication theory with histogram visualization techniques and code implementation insights
Six image enhancement techniques including linear unsharp masking, histogram equalization, and other algorithms with code implementation considerations
Implementation using binary images and histogram analysis for nighttime license plate recognition with code-level algorithm descriptions
LBP features, or Local Binary Patterns, provide a convenient method for texture analysis. After computation, these features are typically described using histograms of local regions, enabling efficient texture classification and pattern recognition in image processing applications.
A histogram-based fuzzy segmentation algorithm utilizing image statistical information, featuring simple implementation and rapid processing speed with optimized computational efficiency