Deep Boltzmann Machine Toolbox
A comprehensive toolbox for Deep Boltzmann Machines designed for image classification and recognition tasks, featuring scalable implementation.
Professional MATLAB source code with comprehensive documentation and examples
A comprehensive toolbox for Deep Boltzmann Machines designed for image classification and recognition tasks, featuring scalable implementation.
Computing various image features including area, perimeter, rectangularity, elongation, and other morphological properties
Connected component labeling for 8-connected images assigns unique labels to each connected region, with processed images obtaining sequential labels following a left-to-right, top-to-bottom scanning order.
MATLAB-based medical image segmentation algorithm featuring iterative optimal threshold selection, suitable for beginners with included visualization graphs and detailed code documentation.
Source code for color image segmentation in HSV color space, including learning and training algorithms to obtain optimal segmentation parameters
MATLAB-based comprehensive image processing program for brain scan image segmentation with complete functionality
A MATLAB-based Hough transform program designed for edge detection and image processing applications, featuring multiple algorithms including Canny edge detector with configurable parameters for optimized performance.
MATLAB-based 3D reconstruction implementation featuring stereo image matching point extraction algorithms
MATLAB-based program for face detection and recognition algorithms with code implementation details
MATLAB source code for image smoothing using masks of various sizes with detailed implementation examples
A MATLAB-based fractal computation program using box-counting algorithm for financial market analysis, materials science, medical research, and rock physics applications.
Implementation of the widely-used Marmousi model in seismic exploration using MATLAB for original visualization and processing with various interpolation methods including linear, nearest-neighbor, and bilinear interpolation algorithms
Comprehensive MATLAB implementations of major CS reconstruction algorithms including greedy pursuit methods (OMP, CoSaMP, SP), convex optimization approaches (BP, LP), and iterative hard thresholding algorithms (IHT, TVq, TVqc) with image-based perfo
Separate an RGB image into its red, green, and blue components and visualize each individual channel to understand color composition and distribution patterns.
MATLAB implementation of Lee filter algorithm for effective speckle noise reduction in SAR imagery with configurable parameters
I have developed several cepstrum calculation methods based on its mathematical definition using MATLAB. The provided code snippets are executable directly in MATLAB. However, initial implementations struggled to identify target frequencies from the
Implementation of a local extremum audio watermarking algorithm using MATLAB, featuring watermark embedding and extraction operations, along with common audio watermarking attack methods and their simulations.
This paper proposes a dual-plateau histogram equalization algorithm specifically designed to enhance infrared images, particularly for improving the visibility of low-contrast small targets. The implementation involves preprocessing, dual-platform hi
Many CFAR algorithms are based on the Cell Averaging (CA) approach, which requires significant computational resources. This program implements an Order Statistic (OS)-based CFAR detection algorithm to address the limitations of CA-CFAR, accompanied
Personally modified and refined code for image stitching implementation, with algorithmic improvements and parameter optimizations