|Table of Contents|

Corn tassel recognition algorithm based on machine vision

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年06期
Page:
661-
Research Field:
Publishing date:

Info

Title:
Corn tassel recognition algorithm based on machine vision
Author(s):
Mao ZhengchongLiu Yongjuan
Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education), Jiangnan University,Wuxi 214122,China
Keywords:
machine vision corn tassels recognition corn tasseling stage fault rate recall rate
PACS:
TP391
DOI:
10.14177/j.cnki.32-1397n.2016.40.06.004
Abstract:
A corn tassel segmentation algorithm is proposed for corn field large area images to determine corn tasseling stage automatically.Firstly,a red green blue(RGB)image is converted to the YCbCr space,Cb and Cr component images are enhanced respectively; then a Fisher classifier is trained to classify the Cb and Cr value of each pixel and corn tassels are segmented preliminary; next,a new color index excess blue index(ExB)is used to gray the RGB image,and the gray image is clustered by an improved Kmeans; lastly,the Fisher classification results and clustering results are combined to determine final corn tassel pixels.Experimental results show that this algorithm can identify corn tassels effectively,fault rate and recall rate of a normal environment are 0.177% and 0.831% respectively,fault rate and recall rate of a drought environment are 0.141% and 0.811% respectively,this algorithm is robust for maize growth environments.

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Last Update: 2016-12-30