An intelligent cashew kernels classification using color feature

Narendra , V G and Hareesha , K S (2010) An intelligent cashew kernels classification using color feature. In: International Engineering Symposium,, March 3-5, 2010, Kumamoto University, Japan.

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Abstract

Cashew is a commercial commodity that plays a major role in earning foreign revenue mong export commodities in India. The purpose of this research work is to explore image processing techniques and approaches on Indian cashew variety identification based on their kernels. Color is an important quality factor for grading, marketing, and end users. Our primary objective is to develop a cost-effective intelligent model to identify the cashew kernels. Color features in the RGB (red-green-blue) color space are extracted and computed. A feed-forward neural network is trained to classify sample cashew kernels. An intelligent classification system based on computer vision system can be developed for automated grading and sorting to speed up the classification of cashew kernels. This will solve the major problems of many of the cashew export industries, also, gives justice to the cashew growing farmers in accurate grading. The classification system is evaluated on cashew kernels of 6 different grades. The results of our study shows that, the system gives about 90% classification rate.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Image Processing, color features, cashew kernel, grading, Neural Network.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 22 Mar 2013 08:46
Last Modified: 22 Mar 2013 08:46
URI: http://eprints.manipal.edu/id/eprint/79241

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