Corner and Edge Detection of Image Based on an Annealed Chaotic Competitive Network

Abstract:

In the computer vision, feature extraction is an important research orientation. Corner and edge detection is a basic technique for obtaining local feature in this image. In the paper, we propose a method that corner and edge of image is detected simultaneously by an annealed chaotic competitive network. The method is compared with several traditional methods of corner and edge detection algorithm, the experiment result shows a good performance. The clustering method can achieve the corner and edge detection simultaneously.

• Periodical: Applied Mechanics and Materials (Volumes 536-537)
• Pages: 180-185
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.536-537.180
• Online since: April 2014
• Authors: Xue Bin Qin*, Mei Wang, Pai Wang, Hui Zhen Liang
• Keywords: Annealed Chaotic Competitive Network, Corner and Edge Detection Clustering, Feature Extraction

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