MATLAB Implementation of Image Gaussian Filtering
Image Gaussian Filtering - In edge detection processes, Gaussian filtering is typically applied as the initial preprocessing step to reduce noise and smooth the image.
Gaussian Pyramid - Multi-Scale Image Representation Using Gaussian Pyramid
Gaussian Pyramid - Implementing multi-scale image representation through Gaussian filtering and iterative downsampling layers
Comparison of Four Gaussian Filter Algorithms: EKF, UKF, QKF, and CKF
Comparative analysis of four Gaussian filtering algorithms (EKF, UKF, QKF, CKF) with implementation insights and performance evaluation for nonlinear state estimation
Gaussian Filter Algorithm for Image Processing
Implementation of Gaussian filtering on images with comparison display of original and processed results, including code-level insights
A Comprehensive Library of Image Filtering Functions for Image Processing
A collection of commonly used image filtering functions implemented in MATLAB, including Gaussian filtering, DOOG (Difference of Offset Gaussians) filtering, and more. This versatile code library can be easily integrated by adding it to your MATLAB working path, providing ready-to-use implementations for various image processing tasks with optimized algorithm efficiency.
Gaussian Filtering in Image Processing
Gaussian filter implementation for image filtering, using a Gaussian kernel to achieve smooth processing with parameter-controlled standard deviation for different blurring effects.
Custom Implementation of Mean Filter, Median Filter, and Gaussian Filter with Performance Comparison
Custom-developed functions for mean filtering, median filtering, and Gaussian filtering operations with comparative analysis against MATLAB's built-in filtering functions using performance metrics and visual output evaluation
MATLAB Implementation for Hand Gesture Recognition
MATLAB-based hand gesture recognition system employing skin color extraction, Gaussian filtering, sharpening processing, and HU moment operations for robust hand segmentation, enabling individual gesture recognition through pre-defined gesture templates.
Canny Edge Detection Operator
Self-implemented Canny edge detection operator including Gaussian filtering, non-maximum suppression, double threshold processing, and edge refinement with detailed algorithmic explanations.
Comparative Analysis of Common Denoising Methods with Implementation Details
A comprehensive comparison of prevalent denoising techniques including Median Filtering, Mean Filtering, Wiener Filtering, Gaussian Filtering, and three morphological filtering approaches (standard, improved, and multi-structural element morphological filtering) with code implementation insights