Explore MATLAB source code curated for "旋转" with clean implementations, documentation, and examples.
This project demonstrates image matching between two pictures, with functionalities including image scaling, rotation, and grayscale transformation. The package contains image files for testing the implementation, which utilizes key MATLAB functions such as imresize for scaling, imrotate for rotation, and rgb2gray for grayscale conversion.
Comprehensive algorithm explanation and MATLAB implementation for digital image rotation techniques
Fourier descriptors providing translation and rotation invariance, suitable for object recognition with robust feature extraction capabilities
GUI interface design for general image processing operations including rotation, noise addition, histogram equalization, and advanced techniques with MATLAB implementation details
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.
Using three polarization images obtained by rotating a polarizer to three different orientations, calculate and generate Degree of Polarization (DoP) image, Angle of Polarization (AoP) image, and Stokes parameter component images
Implementation of the SIFT algorithm for accurate image recognition with robust resistance against affine transformations including rotation, translation, and scaling attacks
Implementation of iterative closest point algorithm for 3D point cloud matching with quaternion method for rotation calculation
Image registration focusing on rotation and translation transformations, achieved through mutual information optimization with practical MATLAB code examples including key functions like imregister() and imtransform().