MATLAB-Based Fruit Recognition Using Image Processing Techniques
Fruit image recognition implementation using MATLAB with comprehensive feature extraction and machine learning algorithms
Gesture Recognition Implementation in MATLAB
MATLAB-based gesture recognition through image processing; identifies gestures from uploaded images rather than real-time camera input, involving image preprocessing and classification algorithms
Image Recognition Implementation Using the K-Nearest Neighbors Algorithm
Implementing image recognition with the k-nearest neighbors method, featuring a straightforward program structure that requires a training dataset for model development and classification tasks.
Recognition and Classification of Different Fruits in Images
Identifying and categorizing various fruits in images by analyzing color, shape, and other visual characteristics using computer vision techniques.
MATLAB-Based Image Matching Code with Implementation Details
Image recognition and its applications are increasingly vital in modern society. Identifying corresponding points or feature points between two images is a fundamental prerequisite and critical step for image matching. This article includes relevant images and MATLAB source code, providing a comprehensive approach to image matching using MATLAB. The implementation demonstrates key algorithms such as feature detection, descriptor extraction, and matching techniques with practical code examples.
Image-Based Barcode Recognition Program for EAN13 Codes
This image-based barcode recognition program specializes in EAN13 code detection, demonstrating strong robustness when the barcode background consists of solid colors. The implementation incorporates advanced image preprocessing techniques and pattern recognition algorithms.
MATLAB Function Implementation for Image Recognition
Powerful and practical image recognition functions with robust code implementation for various applications.
Class Average Clustering Method for Image Recognition
A MATLAB-based GUI application utilizing class average clustering for identifying diverse features in various images (primarily remote sensing). The program offers three selectable distance functions, including main program, FIG interface file, and distance calculation modules for flexible image analysis.
Localization in Image Recognition for Iris Detection
A localization program designed for iris image recognition, utilizing reference images from the Chinese Academy of Sciences database, with implementation details for feature extraction and coordinate mapping.
Face Recognition Using the Classic KL Transform Algorithm
A facial recognition program based on the classic KL Transform algorithm, which can be adapted with minor modifications for general image and text recognition applications.