Defect segmentation of tomatoes using fuzzy color clustering method

Zhu Weihua; Cao Qixin

Volume 19 Issue 3

May 2003

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Abstract

Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2003 > 19(3): 133-136.

Zhu Weihua, Cao Qixin. Defect segmentation of tomatoes using fuzzy color clustering method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2003, 19(3): 133-136.

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Defect segmentation of tomatoes using fuzzy color clustering method

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Received Date: August 20, 2002
Published Date: May 30, 2003

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Abstract

Abstract

Fruit surface defect inspection is always a challenging project for computer vision automated fruit grading. On the basis of HSL color model, a defect segmentation method based on fuzzy color clustering is proposed. By converting pixel value from RGB color model to HSL color model; defining H, S, L fuzzy sets using triangle membership function, and constructing a fuzzy color set, a fuzzy color similarity measure to calculate similarity between two fuzzy colors was created. This algorithm was applied to tomato defect segmentation, and experimental results show that the accuracy is 96%.
- computer vision,
- fuzzy color,
- tomatoes,
- defect,
- segmentation,
- inspection

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