Extraction method of gear interference image foreground region based on adaptive threshold

Table 1. Parameters of gears to be measured
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Table 1. Parameters of gears to be measured
待测齿轮模数齿数齿宽/mm 螺旋角/(°) 压力角/(°)
斜齿轮 $3$ $60$ $15$ $20$ $20$
直齿轮 $2.5$ $50$ $20$ — $20$

Table 2. Accuracy evaluation of pixel matching

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Table 2. Accuracy evaluation of pixel matching

待评价图像组	自适应阈值法	传统算法	匹配度差值	准确度提升比/%
A组各算法提取结果	401 710	385 003	16 707	4.09
B组各算法提取结果	400 450	385 586	14 864	3.64
C组各算法提取结果	402 359	384 120	18 239	4.47
D组各算法提取结果	381 479	367 201	14296	3.50

Table 3. Quantitative evaluation of image segmentation

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Table 3. Quantitative evaluation of image segmentation

待评价图像组	PRI	GCE	VOI
A组自适应阈值法	0.986 6	0.223 5	0.768 9
A组传统算法	0.947 3	0.257 7	1.085 6
B组自适应阈值法	0.979 5	0.231 8	0.926 1
B组传统算法	0.946 1	0.259 4	1.104 1
C组自适应阈值法	0.981 4	0.227 5	0.836 0
C组传统算法	0.939 8	0.260 1	1.093 4
D组自适应阈值法	0.923 7	0.311 9	1.147 5
D组传统算法	0.901 4	0.358 6	1.390 3

Table 4. Comparison of phase errorsμm
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Table 4. Comparison of phase errorsμm
待测图像自适应阈值法传统算法提升值
A组 5 15 10
B组 7 22 15
C组 5 14 9
D组 4 15 11

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Yichao ZHAO, Xian WANG, Mingxing JIAO. Extraction method of gear interference image foreground region based on adaptive threshold[J]. Journal of Applied Optics, 2023, 44(2): 345

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