HMM-Based Recognition Program for Digits 0-9
An HMM-based recognition program that achieves 100% accuracy in recognizing digits 0-9, featuring robust pattern analysis and machine learning implementation.
Explore MATLAB source code curated for "分割" with clean implementations, documentation, and examples.
An HMM-based recognition program that achieves 100% accuracy in recognizing digits 0-9, featuring robust pattern analysis and machine learning implementation.
Gene Selection Algorithm | SVM-RFE Gene Selection Algorithm | SVM-RFE Gene Selection Method | SVM-RFE Feature Ranking Technique
Generating and analyzing two-dimensional histograms of images with MATLAB implementation
RSIHE Algorithm (Recursive Sub-Image Histogram Equalization) - An advanced image enhancement technique that recursively divides images into 2^r equal-area sub-images for localized histogram equalization. This package includes MATLAB source code, research paper, and sample input images with detailed implementation of the recursive partitioning and adaptive enhancement process.
This paper addresses the computational intensity and prolonged runtime of traditional FCM algorithms by proposing an enhanced FCM approach. The method involves dividing images into window-sized sub-blocks, extracting feature vectors at the sub-block level for coarse FCM clustering, followed by pixel-level feature extraction and fine segmentation specifically for edge sub-blocks. This hierarchical segmentation strategy significantly improves processing speed and segmentation accuracy through optimized computational resource allocation.
Gesture Recognition in Static Images: Segmenting Gesture Components from a Single Image using Computer Vision Techniques
Original Simulink simulation source code for three-phase SPWM rectifier circuit with implementation details
Binarize cell images using the bimodal thresholding method, followed by segmentation and cancer cell identification
Implementation for segmenting and extracting arbitrary objects from images, successfully compiled in MATLAB.
MATLAB-based license plate recognition system featuring comprehensive image processing coursework design. Includes complete source code, vehicle images, license plate template images, technical report, and voice output functionality. Implements grayscale image processing for segmenting and recognizing license plates across three sample images, with detailed algorithm explanations.