15 October 2015 An image matching method based on closed edges incorporated with vertex angles
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baoming Zhang, Baoming Zhang, Xiaowei Chen, Xiaowei Chen, Jun Lu, Jun Lu, Zhihui Gong, Zhihui Gong, Haitao Guo, Haitao Guo, } "An image matching method based on closed edges incorporated with vertex angles", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96431K (15 October 2015); doi: 10.1117/12.2192189; https://doi.org/10.1117/12.2192189
PROCEEDINGS
8 PAGES


SHARE
Back to Top