Study of Rice Disease Spots Segmentation
نویسندگان
چکیده
Image identification technique is a newly emerge corn disease diagnosis. Disease and background can be isolated base on the image segmentation. The accuracy of the identification result has important impact on corn quality and yield. Plant disease often appears in leaves. In this study, an image extraction algorithm of rice leaf which is based on green component and use the threshold of grey-scale image methods has been proposed. According to the color characteristics of rice diseases, we use RGB color space technology to identity disease spot. The segmentation results show that this paper proposed segmentation method not only has good effect but also can be easily implemented but has good accuracy.
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