Object Recognition in Remote Sensing Images Using Fuzzy Neural Network Approach
Implementation of object recognition in remote sensing images through fuzzy neural networks with code integration and algorithmic enhancements
Open Source Computer Vision Object Recognition
Detailed open-source computer vision object recognition code with comprehensive implementation examples and clear code annotations
MATLAB Code Implementation for Target Recognition
A self-developed source code for target recognition with efficient implementation, featuring robust algorithms for accurate object detection and classification.
Feature Extraction for Target Recognition Using Sparse Principal Component Analysis
Implementation of feature extraction in target recognition through Sparse Principal Component Analysis, including research paper and simulation code with detailed algorithmic explanations.
Experimental Program Examples for Image Processing and Object Recognition Applications
MATLAB-based experimental program examples for image processing and object recognition applications. Includes three comprehensive programs with detailed documentation: 1) Chromosome Identification and Statistical Analysis, 2) Vehicle License Plate Localization and Character Recognition, and 3) Simple Character Recognition Experiment Using BP Neural Network. Each program demonstrates practical implementation approaches and algorithmic solutions.
MATLAB Experiments in Image Processing and Object Recognition Applications
Lin Jian's experimental work on MATLAB applications in image processing and object recognition, featuring chromosome identification and statistics, vehicle license plate localization and character recognition, and a basic experiment using BP neural networks for character recognition.
MIT AI Laboratory Object Recognition Source Code in MATLAB
MIT AI Laboratory's object recognition source code, implemented in MATLAB, is highly suitable for computer vision research, featuring practical algorithm implementations and core computer vision techniques.
Comparative Analysis of SVM and AdaBoost Algorithms for Target Recognition
An article comparing SVM and AdaBoost algorithms, implementing both methods for target recognition with detailed performance evaluation and code implementation insights.
Probabilistic Latent Semantic Analysis (PLSA) Model
Implementation of the Probabilistic Latent Semantic Analysis model for object recognition and text recognition applications