MATLAB-based Filtered Back Projection Reconstruction Algorithm
This MATLAB implementation of the filtered back projection algorithm achieves standard 2D image reconstruction with detailed code structure and computational workflow
Explore MATLAB source code curated for "重建" with clean implementations, documentation, and examples.
This MATLAB implementation of the filtered back projection algorithm achieves standard 2D image reconstruction with detailed code structure and computational workflow
Source code for wavelet denoising implementation, including wavelet decomposition, reconstruction, and threshold setting functions with MATLAB examples
Implementation using Radon transform for projection data generation followed by filtered back projection reconstruction with frequency-domain filtering and time-domain convolution approaches
A comprehensive face recognition system implementation featuring image processing, recognition algorithms, and reconstruction capabilities. Includes detailed code explanations for key functions and processing methods.
Complete MATLAB implementation of the Mallat algorithm for wavelet transform featuring three-level decomposition and reconstruction capabilities, including detailed algorithm explanations and key function descriptions
Signal Sampling and Reconstruction involves sampling known continuous signals and recovering the original signals from discrete samples, typically implementing Nyquist-Shannon theorem and interpolation algorithms.
Advanced PCA eigenface training and reconstruction program with robust implementation for facial recognition applications
Implementation of fan-beam filtered back projection reconstruction algorithm using MATLAB for 3D medical imaging