Application Study about OTSU Optimal Threshold Method in Cotton Seedling Recognition

LIU Guang-rui1,HUANG Zhen1,MAO Shu-chun2,WANG Guo-ping2,BI Jing-kai1(1.College of Mechanical Engineering,Zhengzhou University,Zhengzhou,Henan 450001,China;2.Institute of Cotton Research,Chinese Academy of Agricultural Sciences,Anyang,Henan 455000,China)

grayscale transformation;OTSU method;spur removal;match board

Cotton seedling recognition and depart is the key technology to realize transplanting automation,using visual picture processing technology,the cotton seedling recognition is studied.To the cotton seedling picture got by vision,based on the color analysis of cotton seedling and its background,the color pictures of cotton seedling expressed at RGB color space are transferred to corresponding grayscale images using the OTSU method,and the grayscale images are treated by nonlinear smoothing method to eliminate noise,and then the grayscale pictures are transferred to the two-color images using maximum variance between two groups to select the optimal sorting threshold value.In order to extract and identify the character of cotton seedling,the two-color images are treated refiningly,and removing spur treatment method is designed to eliminate the effect of the picture spur after refined on character identification.Further,the weight match board method is used,and match rule for preventing misjudge is designed.Using these series of method,the cotton seedling recognition is implemented finally,and it is explained that the method of using visual picture processing technology to recognize cotton seedling is feasible.