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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.
Fang Zi,Yanjun Li,Ke Zhang, andDawei 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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Fang Zi, Yanjun Li, Ke Zhang, 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