Yu Cao, Chuanpeng Xu. Application of an Improved Threshold Segmentation Algorithm in Lens Defect Detection[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610007
- Laser & Optoelectronics Progress
- Vol. 58, Issue 16, 1610007 (2021)
Fig. 1. Ideal model of sub-pixel edge detection. (a) Original edge image model; (b) rotated edge image model
Fig. 2. Curve inflection point diagram under different a and b values
Fig. 3. Diagram of processing results under different a and b values. (a) a=2, b=15; (b) a=8, b=5; (c) a=4, b=10
Fig. 4. Comparison of weight coefficients
Fig. 5. Comparison of bubble threshold segmentation. (a) Original image of bubble; (b) Otsu segmentation; (c) standard PSO+Otsu segmentation; (d) improved PSO+Otsu segmentation; (e) improved two-dimensional maximum entropy threshold segmentation of genetic algorithm; (f) bubble edge
Fig. 6. Comparison of scratch threshold segmentation. (a) Original image of scratches; (b) Otsu segmentation; (c) standard PSO+Otsu segmentation; (d) improved PSO+Otsu segmentation; (e) improved two-dimensional maximum entropy threshold segmentation of genetic algorithm; (f) scratch edge
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Table 1. Comparison of image segmentation of optical lens bubbles
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Table 2. Comparison of image segmentation of optical lens scratches
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