Image's concentric circle character matching based on lateral inhibition mechanism and application on scene matching

Fang Zi; Yanjun Li; Ke Zhang; Dawei Zhao

doi:10.1117/12.774191

10 November 2007 Image's concentric circle character matching based on lateral inhibition mechanism and application on scene matching

Fang Zi, Yanjun Li, Ke Zhang, Dawei Zhao

Author Affiliations +

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67952W (2007) https://doi.org/10.1117/12.774191
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

The lateral inhibition mechanism of biologic vision is introduced and applied on edge extraction of images. With the method, the image's original characters are unchanged. Furthermore, the edge extraction and image enhancement can be done effectively when the gray changes caused by varying illumination. For increasing the matching ability of resistance to geometric distortion, a new matching algorithm is established. The edges of the real-time and reference maps are extracted with the above-mentioned method based on lateral inhibition. Then the concentric circle characteristic vector of image is defined and the method of vector extraction is proposed. The concentric circle characteristic vectors of the real-time and reference maps are extracted. Finally they are matched according to the vectors. The resistance of geometric distortion is improved. A map of roadway in a city obtained by satellite is simulated. The results show that the influence of gray and geometric distortion on scene matching is effectively overcome. The algorithm is easily implemented with hardware. The operation speed of the algorithm is also fast. It's worth for the design of real-time scene matching system.

Citation Download Citation

Fang Zi, Yanjun Li, Ke Zhang, and Dawei Zhao "Image's concentric circle character matching based on lateral inhibition mechanism and application on scene matching", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67952W (10 November 2007); https://doi.org/10.1117/12.774191

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