Title :
Arecanut grading based on three sigma controls and SVM
Author :
Danti, Ajit ; Suresha, M.
Author_Institution :
Dept. of Comput. Applic., Jawaharlal Nehru Nat. Coll. of Eng., Shimoga, India
Abstract :
In this paper, effective grading of arecanuts is proposed. The Arecanut RGB image is converted into YCBCR color space. Three sigma control limits on color features are determined for effective segmentation of arecanuts. Color features are used for the grading of arecants with the help of support vector machines (SVMs) into two grades i.e. Boiling and Non-boiling nuts effectively. Experimental k-fold cross validation method demonstrated the efficiency of the proposed approach.
Keywords :
agriculture; crops; feature extraction; image colour analysis; image segmentation; support vector machines; Arecanut RGB image; Arecanut grading; India; SVM; YCBCR color space; arecanut segmentation; boiling nuts; color features; commercial crops; k-fold cross validation method; nonboiling nuts; support vector machines; three sigma controls; Aerospace electronics; Educational institutions; Humans; Image color analysis; Indexes; Kernel; Support vector machines; Arecanut; classification; segmentation; sigma control limits; support vector machines;
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5
