Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
This program first applies a Butterworth high-pass filter to preprocess the image, followed by edge detection using the Sobel operator algorithm. The combined approach effectively enhances edge feature extraction through frequency-domain filtering and gradient-based detection.
Performing Image Convolution with Gabor Filter Banks for Texture and Edge Feature Extraction
Enhancing coronary arteries through 2D Gaussian matched filtering with multi-directional filtering for superior image improvement results
No-reference JPEG2000 compressed image quality evaluation code providing accurate assessment without requiring original reference images
MATLAB implementation of Frost filtering algorithm for speckle stripe image processing, featuring noise reduction and image enhancement capabilities. Download includes complete source code with practical examples.
Implementation of corner detection in images using the SUSAN algorithm, with detailed explanations and comments provided in the source code regarding the algorithmic workflow and parameter configurations.
1. Perform Fourier Transform on images to convert them from spatial to frequency domain. 2. Remove vertical stripe noise based on the Fourier analysis results. 3. Apply Inverse Fourier Transform to reconstruct the processed image.
Image Butterworth Notch Filter implements frequency-selective filtering to eliminate specific interference patterns in images using Butterworth notch design principles
Fisheye lens geometric correction program based on MATLAB, transforming fisheye-distorted images into normal perspective images using advanced calibration algorithms
Binarizing images with adaptive threshold method involves dividing the image into sub-images, calculating local mean values for each sub-image, and using these means as thresholds for binarization