| Titles |
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English :
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Segmentation Technique for Detecting Leaf Spots in Cucumber Crop Using Fuzzy Clustering Algorithm
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| Abstract |
Leaf spots are indicative of crop diseases, where leaf batches are usually examined manually and subject to expert opinion . In this paper we present a segmentation techmique for identifying the leaf batches in a cucumber crop using fuzzy clustering algorithm (FCM). Adapting the FCM algorithm parameters based on fuzzy entropy, partition coefficient, and compactness measures was used for choosing the optimal cluster number. It was found that, the adapted FCM technique has a better detection of spots when using a window selection. Experimental results have demonstrated the effectiveness and superiority of the algorithm after an extensive set of color images was tested.
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| URL |
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| Publication year |
2003
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| Organization Name |
Climate Change Information Center & Renewable Energy & Expert Systems
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| Country |
Egypt
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| City |
Cairo
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| serial title |
Eleven International Confernce for Artificial Intellegence
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| Department |
Knowledge Engineering and Expert System Building Tools
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| Author(s) from ARC |
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| External authors (outside ARC) |
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| Agris Categories |
Documentation and information
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AGROVOC
TERMS |
Expert systems.
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| Publication Type |
Conference/Workshop
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