Quality Inspection and Grading of Canned Green Peas using Computer Vision
Geetha G, Jinesh V N
Corresponding Author : Jinesh V N ,
Department of Computer Science &Applications, The Oxford College of Science, Bangalore - 560102, Karnataka, India.
Email ID : firstname.lastname@example.org
Received : 2015-07-19 Accepted : 2015-08-28 Published : 2015-09-11
Abstract : Canned Green Peas are widely used vegetable and is the preferred food during emergency food supply in natural disaster for victims. It is highly nutritive and is rich in protein. The quality of these Canned Green Peas is determined by its color, smell and shape. A computer vision system is used to inspect the quality of peas. The sample for the experiment was acquired from proposed image acquisition system with image resolution 400X300. The proposed system facilitates the color and dimension (shape) measurement using image processing techniques. These dimension measurement, when combined with color features, determines the quality of the Canned Green Peas.
Keywords : Canned Green Peas, Color-based K-means clustering, Computer Vision, Digital Image Processing, Emergency Food Supply, and Quality.
Citation : inesh V N et al. (2015). Quality Inspection and Grading of Canned Green Peas using Computer Vision. J. of Computation in Biosciences and Engineering. V2I3. DOI : 10.15297/JCLS.V2I3.04
Copyright : © 2015 Jinesh V N. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal of Computation in Biosciences and Engineering
ISSN : 2348-7321
Volume 2 / Issue 3
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