Fast Polygon and Rectangle Detection Algorithm
A rapid polygon and rectangle detection algorithm with broad applications in various object recognition domains, featuring optimized computational efficiency and implementation details
Explore MATLAB source code curated for "目标识别" with clean implementations, documentation, and examples.
A rapid polygon and rectangle detection algorithm with broad applications in various object recognition domains, featuring optimized computational efficiency and implementation details
Fourier descriptors providing translation and rotation invariance, suitable for object recognition with robust feature extraction capabilities
MATLAB source code for object recognition, complete with implementation files and accompanying research paper, available for download and study.
Classification of remote sensing imagery using similarity-based methods for multispectral target recognition, with implementation details on feature extraction and comparison algorithms
Implementation of target recognition through texture feature extraction using Gray-Level Co-occurrence Matrix (GLCM) with algorithmic explanations and code integration approaches
Inverse Synthetic Aperture Radar (ISAR) offers advantages including long-range detection, all-weather operation, and 24/7 capability, making it widely adopted for target recognition through ISAR imaging. Since ISAR observes non-cooperative targets, it holds significant defense applications and receives global attention as a rapidly evolving, highly competitive technology domain. Implementation often involves motion compensation algorithms, range-Doppler processing, and autofocus techniques to generate high-resolution 2D imagery of moving targets.
Aircraft Recognition in Visible Light Images using Fuzzy Difference Method, Improved Adaptive Threshold Segmentation, and Seventh-Order Hu Moment Invariants
This resource provides comprehensive MATLAB source code for target recognition and detection applications, featuring automated license plate recognition systems complete with image processing algorithms and pattern recognition techniques.
A generic sparse coding approach widely applied in image denoising, object recognition, and other domains, with implementations leveraging optimization algorithms and dictionary learning techniques.
A snake algorithm implementation for contour tracking that can be applied in image processing fields such as image segmentation and object recognition, featuring dynamic curve evolution through energy minimization.