Aiming at the problems of complex background,low extraction accuracy and difficulty in diagnosis of ginseng leaf spot,a ginseng leaf spot image segmentation system based on Otsu and mor-phology algorithm was proposed.By using the HSV spatial model and Otsu algorithm,the features of the complex background around the leaf surface in the image were segmented,and the preliminary re-sults of segmenting the complex background were obtained.By using morphological algorithms,pre-cise segmentation of complex backgrounds was achieved and target images of ginseng leaves were ex-tracted.Based on the color feature information,the healthy green leaf surface was segmented from the diseased spots,and the extraction of diseased spot images was achieved.Based on the segmenta-tion results,the proportion of healthy leaves and diseased spots was calculated,and the severity of ginseng leaf spot disease was determined by comparing the preset values.The experimental results show that the error between the diseased spot coverage results of this method and the actual measure-ment values is less than 5％,and the average accuracy of target and background determination is 91.99％and 91.53％,respectively.The maximum processing time for sample images is 10.27 sec-onds,which meets the requirements for on-site monitoring and diagnosis of leaf spot disease severity in ginseng.It can also provide reference for leaf spot segmentation and diagnosis of leaf spot disease severity in other crops.
维普
万方数据