Gradient-based method for the identification of multi-nodes in sugarcane  

作　　者：Rui Yang Jie Li Qi Liu Wenshan Huang Kai Yin Xi Qiao Yiqi Huang 

机构地区：[1]College of Mechanical Engineering,GuangXi University,NanNing,China [2]Guangdong Laboratory of Lingnan Modern Agriculture,Shenzhen,Genome Analysis Laboratory of the Ministry of Agriculture and Rural Area,Agricultural Genomics Institute at Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen 518120,China

出　　处：《Information Processing in Agriculture》2020年第4期491-499,共9页农业信息处理（英文）

摘　　要：In view of the obvious changes in color between the upper and lower leaf scar in sugarcane nodes,a method of simultaneous multi-nodes identification on a single sugarcane stem was proposed based on the analysis of gradient characteristics of sugarcane images.In combination with image processing and machine vision recognition technology,two cameras were used to acquire different parts of sugarcane images,and the two images were integrated into a complete image of sugarcane by image mosaicking.The Sobel operator is used to calculate the gradient of the sugarcane image in a horizontal direction,and the gradient image is obtained.The sugarcane gradient image was scanned by a rectangular template with a width of 14 pixels and a step length of 12 pixels.The features of average gradient and variance gradient were used to identify sugarcane nodes for the first time.The experimental results showed that the recognition accuracy was 96.8952%,and there were fewer false detected sugarcane segments.The detection efficiency could be improved by detecting multi-nodes on a single sugarcane stem at the same time.

关 键 词：Multi-nodes identification Sugarcane image mosaicking Gradient mean Gradient variance 

分 类 号：S566.1[农业科学—作物学]