MATLAB Code Implementation for Image Processing
Comprehensive image processing techniques including image inversion, color histogram analysis, image input operations, and preprocessing methods
MATLAB Code Implementation for Image Processing
MATLAB Image Processing with Code Implementation - Includes image smoothing (mean and median filtering) and image sharpening (Laplacian, Roberts, Prewitt, and Sobel operators) with algorithm explanations and key function descriptions.
Non-Local Means Denoising
The Non-Local Means (NLM) algorithm for image denoising differs fundamentally from local mean filtering approaches. Unlike traditional methods that average pixels within a local neighborhood of the target pixel, NLM calculates weighted averages across all image pixels based on similarity measures between pixel neighborhoods. This approach preserves finer image details while reducing noise, resulting in superior sharpness retention compared to local mean algorithms. Implementation typically involves patch comparison, distance metric computation, and weighting function application.
Wavelet Transform for Hexiao Image Processing
Wavelet Transform-based Hexiao Image Processing - An image extension program implemented in MATLAB with wavelet decomposition and reconstruction algorithms for enhanced image analysis.
GUI-Based Image Processing Application on MATLAB Platform
An image processing application with graphical user interface (GUI) developed on MATLAB platform, featuring comprehensive functionality including image rotation, color balance adjustment, image enhancement, noise addition, filtering, binarization, histogram analysis, dilation, erosion, edge detection, and image composition operations.
Extracting Texture Feature Parameters with GLCM Source Code
Implementation of texture feature extraction primarily using Gray-Level Co-occurrence Matrix (GLCM) source code for image processing applications
Image Processing (Denoising, Segmentation) and Simulated Annealing Algorithm
This software package comprises four programs designed primarily for image processing (image denoising and segmentation) and implementing simulated annealing algorithms, providing robust solutions for optimization challenges.
MATLAB Code Implementation for Image Processing: Cell Edge Detection and Cancer Cell Identification
Image processing using MATLAB programming for cell edge detection and cancer cell identification, with implementation details and key algorithm explanations.
Calculating Image Curvature with Implementation Details
A complete and accurate program for computing image curvature, suitable for various image processing applications including segmentation, feature extraction, and object recognition
Super-Resolution Image Processing: Synthesizing Clearer Images by Extracting Pixels from Multiple Inputs
Super-resolution image processing extracts pixels from several source images and synthesizes them into a new, clearer image with enhanced quality.