International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 5, May 2015 Edition [ISSN 2250-3153]


Identification and Classification of Rice varieties using Mahalanobis Distance by Computer Vision
      Neelam, Jyoti Gupta
Abstract: In this paper, an algorithm for identification and classification of four different varieties of rice, using the color and morphological features is presented. The proposed algorithm consists of several steps:- Image acquisition, Image Segmentation, Feature selection and Extraction, identification and classification. The identification and classification is done by the Mahalanobis distance. The color features i.e.,( Red Green Blue) and morphological features i.e.,( Area, perimeter, MajorAxislength, MinorAxislength, eccentricity) are used for identification and classification purpose. RGB color modal is used. Mahalanobis distance is used as a identifier and also classifier.

Reference this Research Paper (copy & paste below code):

Neelam, Jyoti Gupta (2018); Identification and Classification of Rice varieties using Mahalanobis Distance by Computer Vision; Int J Sci Res Publ 5(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0515.php?rp=P414061
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