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Accurate counting of electronic components is considered a critical step in the quality assurance process of aerospace electronic equipment, where high reliability is required. To address the inefficiency, error-proneness, and insufficient traceability of traditional manual counting methods, an image segmentation and counting method based on K-Means clustering is proposed. The method integrates HSV color space segmentation and morphological processing to effectively extract component contour features, and introduces a K-Means++ initialization strategy to accurately segment adherent regions, with segmentation results being validated using component contour characteristics. Experimental results indicate that the proposed method is simple to implement, efficient in counting, and capable of providing accurate results of segmentation and counting. It can support the automation and digitalization requirements of quality inspection and traceability in aerospace component assurance.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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