Wheat grain classification by using dense SIFT features with SVM classifier
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- 作者：Murat Olguna ; 1 ; Ahmet Okan Onarcanb ; 2 ; Kemal Ö ; zkanb ; 2 ; Şahin Işikb ; 2 ; Okan Sezerc ; Kurtuluş Ö ; zgişic ; Nazife Gö ; zde Aytera ; 1 ; Zekiye Budak Başç ; iftç ; ia ; 1 ; Murat Ardiç ; c ; Onur Koyuncuc ; omurkoyuncu@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wheat identification ; Grain classification ; Dense SIFT features ; k-means clustering ; Support Vector Machines ; Bag of Word Model
- 刊名：Computers and Electronics in Agriculture
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：122
- 期：Complete
- 页码：185-190
- 全文大小：717 K
文摘
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We put an automated system to classify the wheat grains with a high accuracy rate.
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We used the performance of DSIFT evaluated by SVM classifier.
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The proposed method provides an overall 88.33% accuracy rate.