Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
This MATLAB function implements affine transformation on images, providing excellent source code with configurable parameters for various geometric transformations including scaling, rotation, translation, and shearing operations.
This program performs various image processing operations including grayscale conversion, rotation, sharpening, and drawing geometric shapes (circles, ellipses, lines) on images. Implementation requires entering specific parameter expressions in input fields. Example expressions: Line drawing: x1=20,y1=15,x2=150,y2=100; Circle: x=100,y=100,r=20; Ellipse: x=100,y=100,a=16,b=9; Rotation: angle=30(degrees),ax=100,ay=90; Sharpening: factor=80. The core algorithms utilize matrix transformations for geometric operations and convolution kernels for sharpening.
Effortless rotation of images to any angle with simple operation, excellent results, and code-based implementation insights.
This method compresses images using 2D-DCT, transmits them through QPSK modulation and AWGN channel coding, then reconstructs the original images via IDCT decompression - applicable to any image format with configurable compression and transmission parameters.
Achieving effective denoising for images contaminated by mixed noise through comparative analysis of six methodologies, identifying the optimal denoising algorithm with implementation insights.
This program performs basic spectral analysis on images to generate frequency spectrum visualizations, utilizing Fast Fourier Transform (FFT) algorithms and supporting multiple image formats including JPEG, PNG, and GIF.
A PCA-based face recognition system with 40 sets of facial images. Includes random image selection and recognition demonstration with feature extraction and similarity measurement implementations.
Implementation of Chou's model for calculating Just Noticeable Difference (JND) thresholds per pixel, incorporating brightness sensitivity analysis and spatial masking effects.
This program provides effective image binarization processing with excellent results, suitable for various computer vision applications.
Face region detection with rectangular bounding box marking - implementing automated face localization in images using MATLAB's Computer Vision Toolbox functions like vision.CascadeObjectDetector.