Cat eye target recognition method based on contour matching in night environment

Sun Siyu; Ding Hongchang; Cao Guohua

doi:10.11884/HPLPB202335.220384

Volume 35 Issue 6

May 2023

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Sun Siyu, Ding Hongchang, Cao Guohua. Cat eye target recognition method based on contour matching in night environment[J]. High Power Laser and Particle Beams, 2023, 35: 069002. doi: 10.11884/HPLPB202335.220384

Citation:

Sun Siyu, Ding Hongchang, Cao Guohua. Cat eye target recognition method based on contour matching in night environment[J]. High Power Laser and Particle Beams, 2023, 35: 069002. doi: 10.11884/HPLPB202335.220384

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Cat eye target recognition method based on contour matching in night environment

doi: 10.11884/HPLPB202335.220384

Sun Siyu^{1, 2
,},
Ding Hongchang^{1, 2
,
,},
Cao Guohua^{1, 2}

1.
College of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China
2.
Chongqing Research Institute, Changchun University of Science and Technology, Chongqing 401135, China

Received Date: 2022-11-10
Accepted Date: 2023-03-09
Rev Recd Date: 2023-03-13

Available Online: 2023-03-21

Publish Date: 2023-05-06

Abstract

Abstract

To solve the problem that “cat’s eye” target is difficult to recognize at night, a contour matching algorithm based on normalized central moment is proposed. Firstly, the median filter is used to denoise the image, and the fixed threshold segmentation is used to complete the image segmentation, so that the “cat’s eye” target is separated from part of the background. Roberts edge detection is used to extract the edges of all targets. Finally, the contour matching algorithm based on the normalized central moment is adopted, which is not affected by translation and contraction. All the circular targets in the image are extracted, and the real targets are identified by area discrimination. The minimum peripheral circle is drawn for the identified targets, and the coordinates of the center of the circle are used to locate them. The feasibility of this method is verified by experiments and comparisons of “cat’s eye” images under different illumination intensities, and the effectiveness of this method is verified by target recognition evaluation index. Experimental results show that the global accuracy of this method can reach 92.1%, and it can successfully identify the “cat’s eye” target under different illumination intensity at night.
- night environment,
- “cat’s eye” effect,
- target recognition,
- contour matching,
- normalized central moment

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References(19)

References

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