Apples Grading based on SVM Classifier

Suresh, M and Shilpa, N A and Soumya, B (2012) Apples Grading based on SVM Classifier. International Journal of Computer Applications. pp. 27-30. ISSN 0975 – 8878

[img] Text
ku-art-cs-sm-ijca-042017A.pdf - Published Version
Restricted to Registered users only

Download (434kB) | Request a copy


In this paper, effective automatic grading of apples is proposed. The apples RGB images is converted into HSV image and threshold based approach is used for segmentation of apples from the background. Average red and green color components of the apples are determined for classification of apples. With the help of support vector machines (SVMs), classification is done and found accuracy of 100%.

Item Type: Article
Uncontrolled Keywords: Image Processing, Pattern Recognition, Apple Grading, Classification, Pattern Recognition, Support Vector Machines.
Subjects: 000 Computer Science, Information and General work > 004 Computer Science
Divisions: Department of Computer Science
Depositing User: Unnamed user with email
Date Deposited: 26 Aug 2017 13:10
Last Modified: 27 Aug 2017 05:18

Actions (login required)

View Item View Item