Grayscale Image Segmentation Using an Enhanced Spiking Neural Network
Implementation of grayscale image segmentation using an enhanced spiking neural network approach with code-level algorithm explanations
Explore MATLAB source code curated for "分割" with clean implementations, documentation, and examples.
Implementation of grayscale image segmentation using an enhanced spiking neural network approach with code-level algorithm explanations
This improved adaptive Canny algorithm utilizes a modified switching median filter for image denoising, partitions the image into multiple sub-images, and adaptively generates dynamic thresholds by comprehensively considering global and local edge gradient information.
LWT Lifting Wavelet Decomposition 1-D - A MATLAB program that performs one-dimensional lifting wavelet decomposition using specified lifted wavelets, featuring customizable wavelet types and implementation of the lifting scheme algorithm through prediction and update steps.
A custom-developed program featuring a GUI interface that implements a self-built skin Gaussian model. The model utilizes trained thresholds to perform skin region segmentation in the YCbCr color space, with code handling color modeling and threshold-based classification.
Preprocessing techniques for fingerprint recognition systems, including segmentation, binarization, and thinning operations with algorithmic implementations.
A MATLAB-based simulation program for GPS systems, featuring comprehensive modeling of satellite orbits, receivers, and signal transmission with detailed algorithm implementations.
A comprehensive program for digit character recognition on digital display instruments, featuring image preprocessing, segmentation, and digit recognition algorithms with implementation insights.
MATLAB source code for "Implicit Active Contours Driven by Local Binary Fitting Energy" (LBF Model), a crucial local region active contour model widely applied in MRI brain image segmentation, vascular image segmentation, and image bias field correction, featuring energy minimization algorithms and level set implementation.
A foreign-developed license plate recognition system that primarily utilizes color feature extraction and segmentation techniques, incorporating an integrated neural network for character identification.
Content-based feature extraction for image recognition - segmenting images using k-means clustering to obtain shape information and other key features