Gaussian Filter Algorithm for Image Processing
Implementation of Gaussian filtering on images with comparison display of original and processed results, including code-level insights
Color Image Watermarking Using Discrete 2D Wavelet Transform
A color image watermarking program based on discrete 2D wavelet transform that takes original image and logo as inputs to directly generate watermarked images with embedded protection features.
Background Subtraction and Binarization of Original Image
Removing background through image subtraction and converting the result to binary format
Canny Edge Detection
The file canny.m in the "canny edge detection" folder contains the implementation code for Canny edge detection. compare.m and connect.m are auxiliary functions used within this code. clique.jpg is the original image, while step1.jpg, step2.jpg, step3.jpg, and threshold 80 and 100.jpg represent results from four processing stages. all.jpg displays the final output of the Canny edge detection process.
Source and Target Images for Image Matching
Practical implementation of image matching using source and target images, featuring code integration and algorithm applications - welcome to explore and implement
Finger Vein Recognition: MATLAB Implementation with Code and Sample Image
MATLAB source code for finger vein recognition with comprehensive annotations and original sample image, including algorithm explanations and key function implementations
MATLAB Code Implementation of Discrete Fourier Transform with Spectral Visualization
This DFT program implements discrete Fourier transform operations and generates visualizations of both the original image and its frequency spectrum analysis
Region Energy-Based Image Fusion Method for Original Image Enhancement
Region Energy-Based Image Fusion Method for Original Image Enhancement - Concise Code Implementation
Template Matching Code Implementation
Template matching code implementation that is fully functional! Developed on the MATLAB platform, this code requires importing source and template images, after which it can be executed directly. Upon successful matching, the code will highlight matched regions on the original image. The implementation utilizes cross-correlation based matching algorithms with optimization for real-time performance.