Image Thresholding Using Fuzzy C-Means Clustering Algorithm
This code implements image thresholding using fuzzy c-means clustering, demonstrating superior performance compared to traditional Otsu's method for various image types.
Code Implementation for Normalized Mutual Information Calculation in Image Registration
Implementation of normalized mutual information calculation method for two images in image registration, including algorithm explanation and key function descriptions
Detection of Bridge Deck and Road Surface Cracks
This MATLAB-based implementation includes sample images and is ready to run (requires path modification). Designed for crack detection in bridge decks and road surfaces, the code features detailed function descriptions and algorithmic explanations. Key implementations include frequency estimation of regular stripe patterns in road backgrounds and frequency-domain filtering to effectively remove noise near estimated frequencies while preserving target cracks. The current version provides basic detection functionality with room for improvement, serving as a demonstrative prototype. Interested developers are welcome to enhance and adapt this codebase - please contact me for collaboration opportunities.
Complete Implementation for Disparity Map Estimation
Comprehensive code implementation for generating disparity maps from stereo image pairs (left and right images)
Implementation of a Speech Recognition System with Comprehensive Code Examples
This resource provides detailed code implementations along with required audio files, featuring thorough explanations for building a speech recognition system. Key components include audio preprocessing, feature extraction algorithms, and machine learning model integration.
RFID Anti-Collision Algorithm MATLAB Source Code
MATLAB implementation of RFID anti-collision algorithm source code featuring collision resolution protocols and tag identification mechanisms. Available for download and testing with comprehensive documentation.
Medical Image Processing: MATLAB Implementation Codes and Technical Report
Comprehensive MATLAB implementation codes and technical report on medical image processing, covering several commonly used segmentation methods including algorithm explanations and key function descriptions
MATLAB Code Implementation for Fundamental Communication System Simulation
Fundamental communication simulation suitable for beginners, featuring modulation, analysis, and other key components: classical IIR filter implementations (Butterworth, Chebyshev), Bartlett periodogram, windowed Bartlett periodogram, baseband waveform simulation, Bessel filter design, Binary Symmetric Channel emulation, bit sequence generation, Remez filtering algorithm, BPSK composite baseband signal simulation, carrier wave generator, elliptical filter design, FFT analysis, FSK modulation and demodulation techniques, Gaussian noise simulation with variance control, histogram analysis, ideal AM modulation, linear phase-locked loop (PLL), bandpass scrambler, ideal MPSK implementation, Quadrature Amplitude Modulation (QAM) with constellation mapping, Quadrature Phase Shift Keying (QPSK), Rayleigh noise modeling, and Yule-Walker power spectral density estimation.
Background Subtraction-based Dynamic Object Detection Code Implementation
This code implementation for dynamic object detection using background subtraction method provides practical solutions with detailed algorithm explanations and key function descriptions for real-world applications.
Functionality of Compressive Sensing Reconstruction Algorithms with Code Implementation
Comprehensive Code for Compressive Sensing Reconstruction Algorithms with Detailed Function Specifications