Computer Vision System for Cashew Kernel Area Estimation

Narendra , V G and Shetty, Dasharathraj K and Hareesha , K S (2012) Computer Vision System for Cashew Kernel Area Estimation. In: ICCCNT 2012 , 26th & 28th July 2012 , Coimbatore, India.

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Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, nondestructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Computer Vision, Image processing, Image Analysis, Quality Inspection, Food and Agricultural Products.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 22 Mar 2013 08:43
Last Modified: 22 Mar 2013 08:43

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