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

target number	matched-degree	pixel area	target number	matched-degree	pixel area
target 0	0.010	698	target 11	0.013	18
target 2	0.016	20	target 12	0.016	20
target 4	0.002	14	target 13	0.007	26
target 6	0.002	14	target 16	0.020	14
target 8	0.010	39	target 19	0.013	18
target 9	0.002	14	target 21	0.013	18

Table 2. Comparison of target recognition algorithms

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Table 2. Comparison of target recognition algorithms

algorithm	number of detected correctness	number of detected errors	accuracy rate/%	time/ms
Hough circle transformation	47	33	58.75	1156
roundness discrimination	67	13	83.75	1613
template matching	53	27	66.25	294
based on Hu moment contour matching	74	6	92.5	310
algorithm of this paper	74	6	92.5	227

Table 3. Target location coordinate
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Table 3. Target location coordinate
image location coordinate
image (a) (785,982)
image (b) (706,390)
image (c) (1005,574)
image (d) (400,233)

Table 4. Evaluation result

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Table 4. Evaluation result

	detection number	false detection number	missing number	accuracy/%	false positives rate/%	false negatives rate/%
all images	129	4	7	92.1	10	7
evening environment	61	3	6	87.1	15	12
late night environment	68	1	1	97.1	5	2

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Siyu Sun, Hongchang Ding, Guohua Cao. Cat eye target recognition method based on contour matching in night environment[J]. High Power Laser and Particle Beams, 2023, 35(6): 069002

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