CRF (Conditional Random Field) Package
A CRF (Conditional Random Field) package for image analysis (restoration, segmentation), designed for image modeling and feature extraction
Segmentation and 3D Reconstruction of Medical Images such as CT Scans
MATLAB source code for segmentation and 3D reconstruction of CT and other medical images, featuring algorithms for image processing and volumetric visualization
MATLAB Implementation of Multi-Objective Optimization Problems
Implementation approaches for multi-objective optimization in MATLAB with algorithm explanations and code implementation details
Leaf Image Feature Classification and Recognition with MATLAB Implementation
MATLAB-based leaf image analysis system featuring image processing, segmentation algorithms, feature extraction techniques, and classification methods including SVM and neural networks
RMSHE Algorithm (Recursive Mean-Separate Histogram Equalization)
RMSHE algorithm (Recursive Mean-Separate Histogram Equalization). Core principle involves segmenting images based on mean grayscale values and performing histogram equalization on each segment separately. The package includes MATLAB source code implementation, research paper documentation, and input test images for comprehensive evaluation.
MATLAB Code Implementation for GPS Simulation
GPS simulation program developed in MATLAB, featuring comprehensive simulation processes and robust functionality.
MATLAB Implementation of License Plate Recognition System
A license plate recognition system developed in MATLAB featuring segmentation and character recognition capabilities. Includes template library for matching comparison and test images for system validation.
Iris Localization
For iris localization... boundary tracing is required before locating the outer circle. This program implements this functionality with edge detection algorithms and contour processing techniques.
Brain Tumor Detection in MR Images Using MATLAB
MATLAB implementation for brain tumor detection in MR images through CIELAB color space segmentation with enhanced algorithmic details
MATLAB License Plate Recognition Source Code
This MATLAB program implements license plate recognition using neural networks for processing 6 segmented images of size 16×8. The implementation includes image preprocessing and neural network classification, though sample datasets are not provided due to their large size - users need to extract their own training samples.