Explore MATLAB source code curated for "图像读取" with clean implementations, documentation, and examples.
Development of a GUI-based application enabling comprehensive image processing capabilities including image I/O operations, grayscale transformations, histogram manipulation, enhancement techniques, filtering, restoration methods, edge detection algorithms, and resizing functionalities
A comprehensive MATLAB toolkit for NIfTI (ANALYZE) MRI data handling with capabilities for reading, displaying, saving, and creating medical images, featuring specialized functions for volumetric data processing and medical image analysis algorithms.
Develop fundamental image processing programs using MATLAB, which encompass functionalities such as: reading, writing, and displaying images (supporting common formats like BMP, JPEG); image cropping and scaling operations; color space transformations (e.g., RGB to grayscale); basic histogram transformations and histogram equalization; image smoothing and sharpening techniques; edge detection methods; thresholding operations; discrete Fourier transform; and binary morphological processing (erosion, dilation, opening, and closing). The implementation demonstrates core image manipulation algorithms with practical code examples.
MATLAB-based image processing application featuring image reading, grayscale transformation, binarization, edge detection, and Hough transform with a simple GUI interface for real-time result visualization
Loading and preprocessing CohnKanada facial expression database images with class labels for unsupervised facial expression recognition applications