An Extraction Method Based on Invariance Geometric Feature

Abstract:

An extraction method based on invariance geometric feature is proposed in this paper. This method extracts two types of feature from the object in an image. One type is five invariance statistical features of edge distance. The other is two invariance shape features: rectangular similarity feature and circular similarity feature. Moreover, this proposed method is used to extract defect features for steel plate surface. Its performance is tested in scale and rotation invariance and defects classification. Experimental results show that the novel geometric features have the ability of invariance and can improve the accuracy of classification.

• Periodical: Applied Mechanics and Materials (Volumes 713-715)
• Pages: 1570-1573
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.713-715.1570
• Online since: January 2015
• Authors: Rong Fen Gong*, Mao Xiang Chu, Yong Hui Yang
• Keywords: Circular Similarity, Edge Distance, Geometric Feature, Rectangular Similarity

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