Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
A MATLAB implementation for extracting regions of interest from images using binary mask operations across all three color channels (RGB), demonstrating object isolation techniques for image processing applications.
This MATLAB program extracts invariant moment output results from images, specifically computing the seven classical invariant moments with high processing speed and efficiency.
The Canny detector is a highly effective edge detection algorithm that extracts edges from target images through a multi-step process. The method involves: 1. Image smoothing using a Gaussian filter with specified standard deviation to reduce noise; 2. Calculation of local gradient magnitude and edge direction at each pixel; 3. Non-maximum suppression to thin edges by preserving only ridge tops in gradient magnitude; 4. Edge linking through hysteresis thresholding. This algorithm is widely implemented in computer vision libraries with optimized gradient computation and dual-threshold techniques.
Code implementation for swapping magnitude and phase spectra between two images to analyze their respective roles in image representation and reconstruction
The wavelet threshold denoising method is a leading technique in image denoising that leverages the distinct characteristics of sub-band images after wavelet decomposition, applying different thresholds to achieve superior noise reduction results.
Algorithm for inverse perspective transformation, which involves creating a perspective image, converting between image coordinate system and world coordinate system, and displaying the final image with perspective effects eliminated
A robust image reading program that enables MATLAB to quickly load IMG and other image formats, facilitating seamless data conversion between ENVI and MATLAB environments with efficient code implementation.
Video sequence image compression encoding with motion prediction implementation to enhance compression ratio
Face recognition based on 2DPCA provides superior image dimensionality reduction while achieving higher recognition accuracy compared to traditional PCA methods. This implementation preserves critical image features through direct matrix-to-matrix projection without vectorization.
This implementation provides computer vision-based fruit grading by analyzing fruit images to detect damaged regions and assess quality using image processing algorithms.