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- W2372455304 abstract "Traditional segmentation methods can obtain better result for these images which have distinct difference between the goal and background area. However these methods are difficult to obtain ideal disease speckle for diseased lentil leave images which have minor difference among normal leaves and disease speckles. So in this paper, it proposes a method that is suitable for diseased lentil leave images. This method has two stages including initial segmentation and secondary segmentation. Color gradient graph of these images is computed, then the Otsu algorithm is applied to eliminate lower gradient. Watershed algorithm is used to pre-segment the images, then a rough target zone based on zone area features is gained. FCM algorithm is applied to rough target zone. By analyzing difference between green alley of disease speckle and normal leaves, disease speckle is acquired. Experimental results show good effect of segmenting disease speckle with this method." @default.
- W2372455304 created "2016-06-24" @default.
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- W2372455304 date "2014-01-01" @default.
- W2372455304 modified "2023-09-23" @default.
- W2372455304 title "Image segmentation of diseased lentil leaves for disease speckle" @default.
- W2372455304 hasPublicationYear "2014" @default.
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