Study and Comparison of various Image edge Detection tehniques used in Quality inspection and Evaluation of Agricultural and Food products by Computer vision

Narendra , V G and Hareesha , K S (2011) Study and Comparison of various Image edge Detection tehniques used in Quality inspection and Evaluation of Agricultural and Food products by Computer vision. International Journal of Agricultural & Biological Engineering, 4 (2). pp. 83-90. ISSN 1934-6344

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Abstract

Edges characterize boundaries and are therefore a problem of fundamental importance in quality assessment of agricultural and food products. Since edge detection is in the forefront of computer vision system for detection of vegetables,fruits and food grains needs to quality inspection and evaluation, it is crucial to have a good understanding of edge detection algorithms. In this paper the comparative analysis of various image edge detection techniques is presented. The software is developed using MATLAB 7.6. It has been shown that the Canny’s edge detection algorithm performs better than all operators (i.e. LoG, Robert, Prewitt and Sobel ) under almost all scenarios.

Item Type: Article
Additional Information: Copyright 2012 Chinese Society of Agricultural Engineering(CSAE) and Association of Overseas Chinese Agricultural, Biological and Food Engineers (AOCABFE).
Uncontrolled Keywords: Edge detection, noise, computer vision, agricultural and food products
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 04 Feb 2013 10:00
Last Modified: 05 Feb 2013 07:22
URI: http://eprints.manipal.edu/id/eprint/78165

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