Analysis of visual features and classifiers for Fruit classification problem

Author:

Ghazal Sumaira,Qureshi Waqar S.,Khan Umar S.,Iqbal Javaid,Rashid Nasir,Tiwana Mohsin I.

Funder

Higher Education Commission Pakistan

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference28 articles.

1. Abdel-Hakim, A.E., Farag A. A., 2006. CSIFT: A SIFT Descriptor with Color Invariant Characteristics. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), New York, NY, USA, 2006, pp. 1978-1983.

2. Chamasemani, F. F., Singh, Y. P., 2011. Multi-class Support Vector Machine (SVM) Classifiers -- An Application in Hypothyroid Detection and Classification. In: 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications, Penang, 2011, pp. 351-356.

3. Cunningham, P., Delany, S. J., 2007. K-Nearest neighbor classifiers. Technical Report UCD-CSI-2007-4, Dublin: Artificial Intelligence Group, March 27, 2007.

4. Dalal, N., Triggs, B., 2005. Histograms of oriented gradients for human detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 886–893.

5. Fruit Recognition Using Surface and Geometric Information;De Goma;J. Telecommunication Electronic Comput. Eng. (JTEC),2018

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