MATLAB Image Processing Implementation with Code Examples
Image processing techniques including filtering, image overlay functionality; experimental images stored in in_pic directory with results saved to out_pic folder
Interference Fringe Processing with Filtering, Binarization, and Skeletonization for Fringe Spacing Calculation
This program performs interference fringe processing through filtering, binarization, and skeletonization operations to ultimately generate a single-pixel-width image for accurate fringe spacing measurement.
Simulated Digital Down Conversion
A MATLAB-based digital down conversion simulation where frequency conversion and filtering are implemented through custom code rather than built-in MATLAB functions, designed for straightforward portability to DSP or FPGA platforms. Includes practical implementation approaches for signal processing algorithms.
Signal Spectrum Processing Using the CLEAN Algorithm
Implementing the CLEAN Algorithm for Signal Spectrum Processing to Achieve Filtering Effects
Design of Particle Analysis System Based on Image Processing
Development of an image-based particle analysis system implementing preprocessing, filtering, binarization, segmentation, and final statistical analysis of particle size distribution and quantity counting
Pulse Coupled Neural Network Algorithm Source Code Collection
Comprehensive source code implementations of various Pulse Coupled Neural Network (PCNN) algorithms, including: image enhancement, filtering, edge detection, and image segmentation with detailed code structure explanations
Contrast Enhancement, Histogram Equalization, and Filtering Algorithms
This collection contains MATLAB source code for image processing, featuring implementations of contrast enhancement, histogram equalization, and filtering techniques with detailed code explanations.
Wavelet Transform Implementation for ECG Signal Filtering Using Thresholding Techniques
Implementation of ECG signal filtering using wavelet transform methods with hard thresholding, soft thresholding, and improved thresholding approaches, featuring performance evaluation through mean square error and signal-to-noise ratio metrics
MATLAB Code Implementation for Digital Signal Processing
Digital signal processing techniques including filtering implementations - highly beneficial for beginners with practical MATLAB code examples and algorithm explanations
Image Segmentation Using Texture Analysis via Filtering Implementation
Implementation of texture analysis-based image segmentation using Gabor filtering, requiring initial parameter configuration. The Gabor filter consists of a Gaussian kernel with specified variances (sx and sy) along x and y-axes, optimized for texture feature extraction.