The Design and Implementation of Plant Disease Spot Segmentation Algorithm Based on Improved CV Model

摘要：

　　In view of the shortcomings that CV model cant divide grayscale uneven image and we need to set the initial segmented contour manually and so on,this paper introduces Otsu algorithm based on the CV model,to make sure the initial segmented contour and avoid the shortcomings,at the same time,making CV model get good segmentation effect on gray uneven image through introducing local variance.The result proves that though the number of iterations is less than original CV model,and it also can get better effect than original CV model,closer to the profile of plant disease in this paper,meanwhile,the method adopted by this paper make computing speed faster than the original algorithm.

关键词： CV model Otsu image segmentation plant disease

作者: Liao Jingwei Wang Mantao Tan Zhouyu Gao Weijun Wang yuchen Zhang Jie Luo Lixin

作者单位: Sichuan Agricultural University,College of Information Engineering,625000 Yaan,China Sichuan Agricultural University,College of Information Engineering,625000 Yaan,China;The Lab of Agri

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Computer Science and Information Engineering (ICCSIE 2018) 2018第三届计算机科学与信息工程国际会议(ICCSIE 2018)

会议地点: 西安

会议语种:英文

页码: 272-278

在线出版日期: 2018-09-21（万方平台首次上网日期，不代表论文的发表时间）