MATLAB Image Segmentation Examples with Source Code
Practical MATLAB image segmentation examples including L*a*b color space segmentation, vehicle detection, and watershed segmentation algorithms with complete source code implementation.
Explore MATLAB source code curated for "彩色图像" with clean implementations, documentation, and examples.
Practical MATLAB image segmentation examples including L*a*b color space segmentation, vehicle detection, and watershed segmentation algorithms with complete source code implementation.
Color Image-Based Digital Watermarking Algorithm Implementation in Discrete Cosine Transform Domain with Embedded Code Implementation Details
Mean Shift Image Segmentation Test Program implementing clustering segmentation on color images using the meanshift algorithm with excellent results. The program displays processing time and identified cluster counts, and includes RGB-LUV color space conversion, image matrix data reduction to dimensional arrays, and other utility functions. Features comprehensive code annotations, implementation notes, and sample result images - highly suitable for computer vision, machine learning, and pattern recognition reference.
Converting color images to grayscale simplifies data processing by reducing dimensionality and computational complexity
MATLAB GUI design featuring image cropping and display, grayscale histogram extraction from color images, along with grayscale histogram manipulation techniques including histogram equalization and histogram matching.
This program calculates the Peak Signal-to-Noise Ratio (PSNR) between two color images to evaluate image processing performance, with implementation details for RGB channel processing and MSE calculation.
This project implements color image scaling in MATLAB using the bilinear interpolation algorithm, which provides superior image quality preservation during resizing operations.
Color transfer method for grayscale image colorization. This implementation is based on the paper "Transferring Color to Grayscale Images" and works by performing texture matching to identify corresponding regions between grayscale and color images, then transferring colors to matched areas. The code package includes detailed function documentation covering algorithm implementation and parameter specifications.
This program calculates the Peak Signal-to-Noise Ratio (PSNR) between two color images, serving as a metric for evaluating image processing performance. The computed result is stored in the variable PSNR, which can be utilized for further analysis or comparison.
Transformation of color images from HSI (Hue, Saturation, Intensity) color representation to RGB (Red, Green, Blue) color space with algorithm implementation details