Name
Abstract | ||
|---|---|---|
This paper had proposed an automatic segmentation method to detect defects on citrus surface eroded by diseases and pests based on circularity threshold segmentation. A visible imaging system was built and citrus fruits were shot by this system. The chromatic aberration map of GB components was obtained, and a circularity threshold was used to separate defects from healthy regions on fruit surface. The erosion coefficient was used to quantify the erosion degree by diseases or pests. With respect to global Otsu segmentation method, the performance improvement of circularity threshold method in this paper was up to 15.58%. The algorithm can detect defects on citrus surface accurately, rapidly, and it had important significance in citrus grading, control of diseases and pests. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) | Citrus fruit, defects, circularity threshold, segmentation |
Field | DocType | Citations |
Computer vision,Pattern recognition,Computer science,Segmentation,Chromatic aberration,Visible imaging,Artificial intelligence,Performance improvement | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |