DocumentCode :
1595687
Title :
A new algorithm based on super-green features for ostu´s method using image segmentation
Author :
Hengqiang, Su ; Changji, Wen
Author_Institution :
College of Information Technique, Jilin Agricultural University, Changchun, China
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
Image recognition technology is a new plant disease diagnosis. Image segmentation can be isolated lesion and background. The accuracy of its identification has important implications. We propose a new image segmentation algorithm which is based on super-green features and OSTU methods. This segmentation algorithm is good, and easy to implement. It is able to provide good pre-treatment of disease identification results, and improve recognition accuracy. This algorithm was applied in the corn diseases identified study work. The results show that the algorithm has good accuracy.
Keywords :
OSTU methods; identification of corn diseases; image segmentation; super-green features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
ISSN :
2154-4824
Print_ISBN :
978-1-4673-4497-5
Type :
conf
Filename :
6321876
Link To Document :
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