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Proceedings Paper

An image matching method based on closed edges incorporated with vertex angles
Author(s): Baoming Zhang; Xiaowei Chen; Jun Lu; Zhihui Gong; Haitao Guo
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Paper Abstract

An image matching method based on closed edges incorporated with vertex angles is proposed in this paper. Based on edge detection results by Edison operator, invariant moments of closed edges and angles between the two branches for edge vertexes are used as matching entities to determine conjugate features candidates. The transformation relationship between images is approximated by similarity transformation model, and a set of transformation parameters can be determined by each pair of conjugate features after combining conjugate feature candidates in pair-wise. Furthermore, considering that the difference among transformation parameters which calculated by real conjugate features are minor, K-d tree method and K-means Spatial clustering method are used in succession to eliminate pairs which contain mismatching features. Therefore, conjugate features can be obtained from the similarity transformation parameters. Experimental results turn out that this method shows a stable performance and presents a satisfactory matching result.

Paper Details

Date Published: 15 October 2015
PDF: 8 pages
Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96431K (15 October 2015); doi: 10.1117/12.2192189
Show Author Affiliations
Baoming Zhang, Zhengzhou Institute of Surveying and Mapping (China)
Xiaowei Chen, Zhengzhou Institute of Surveying and Mapping (China)
Jun Lu, Zhengzhou Institute of Surveying and Mapping (China)
Zhihui Gong, Zhengzhou Institute of Surveying and Mapping (China)
Haitao Guo, Zhengzhou Institute of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 9643:
Image and Signal Processing for Remote Sensing XXI
Lorenzo Bruzzone, Editor(s)

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