An image matching method based on closed edges incorporated with vertex angles

Baoming Zhang; Xiaowei Chen; Jun Lu; Zhihui Gong; Haitao Guo

doi:10.1117/12.2192189

15 October 2015 An image matching method based on closed edges incorporated with vertex angles

Baoming Zhang, Xiaowei Chen, Jun Lu, Zhihui Gong, Haitao Guo

Proceedings Volume 9643, Image and Signal Processing for Remote Sensing XXI; 96431K (2015) https://doi.org/10.1117/12.2192189
Event: SPIE Remote Sensing, 2015, Toulouse, France

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.

Citation Download Citation

Baoming Zhang, Xiaowei Chen, Jun Lu, Zhihui Gong, and 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); https://doi.org/10.1117/12.2192189

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available