文章基本信息

标题：Identification of paddy leaf diseases based on texture analysis of Blobs and color segmentation
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作者：Alex Wenda ; Inggih Permana ; Yusmar Yusmar 等
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2020
卷号：18
期号：4
页码：2018-2026
DOI：10.12928/telkomnika.v18i4.14614
出版社：Universitas Ahmad Dahlan
摘要：There are three types of paddy leaf diseases that have similar symptoms, making it difficult for farmers to identify them, namely blast, brown-spot, and narrow brown-spot. This study aims to identification paddy plant diseases based on texture analysis of Blobs and color segmentation. Blobs analysis is used to get the number of objects, area and perimeter. Color segmentation is used to find out some color parameters of paddy leaf disease such as the color of the lesion boundary, the color of the spot of the lesion, and the color of the paddy leaf lesion. To get the best results, four methods have been chosen to obtained the threshold value, Otsu threshold value, variable threshold value, local threshold value and global threshold value. The best accuracy of the four methods using threshold variables is 90.7%. The results of this study indicate that the method used has been very satisfactory in identifying paddy plant disease.
关键词：blast; blobs; brown-spot; color segmentation; narrow brown-spot;