Explore MATLAB source code curated for "图片" with clean implementations, documentation, and examples.
This resource explores face recognition systems and breast cancer classification algorithms using LVQ neural networks, supplemented with illustrative diagrams and implementation insights.
A MATLAB implementation of image multi-resolution pyramid with guaranteed functionality, featuring high-quality source code and two sample images for demonstration purposes. The code provides pyramid construction through Gaussian filtering and downsampling operations.
Digital steganography technique that conceals txt documents within images and extracts hidden text from stego-images using MATLAB algorithms.
This package contains the implementation code for brain CT image segmentation along with the corresponding medical image dataset used for processing and validation.
Harris corner detection implementation with sample images, providing valuable support for electronic image stabilization technology research. The code includes image gradient computation, corner response function calculation, and non-maximum suppression techniques.
Our algorithm leverages multiple exposure-bracketed photographs to reconstruct the camera response function through a complementary methodology that maximizes luminance range. The derived response function enables fusion of multiple images into a single high dynamic range (HDR) image with enhanced pixel accuracy representing real-world scenes. Validation using both optical images from traditional cameras and digital image acquisition methods demonstrates the algorithm's correctness and robustness, with implementations featuring pixel-wise weighting and radiance map reconstruction techniques.
Detect circles within images and extract center coordinates with radius data – requires MATLAB installation with image processing toolbox.
A contour-based hand gesture recognition approach with comprehensive visual demonstrations and complete source code implementation
This segmentation algorithm delivers exceptional performance, including comprehensive experiments and visual results, providing valuable reference material for researchers and developers.
MATLAB program code for illumination compensation with sample images, featuring image processing techniques to correct uneven lighting conditions