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2010 (Vol. 2, Issue: 6)
Article Information:

Apple Fruits Recognition Under Natural Luminance Using Machine Vision

M.B. Lak, S. Minaei, J. Amiriparian and B. Beheshti
Corresponding Author:  Mohammad Bagher Lak 

Key words:  Apple harvesting, color-shape based algorithm, edge detection, machine vision, , ,
Vol. 2 , (6): 325-327
Submitted Accepted Published
2010 October, 22 2010 November, 13 2010 November, 30
Abstract:

In this study, edge detection and combination of color and shape analyses was utilized to segment images of red apples obtained under natural lighting. Thirty images were acquired from an orchard in order to find an apple in each image and to determine its location. Two algorithms (edge detection-based and colorshape based) were developed to process the images. They were filtered, converted to binary images, and noisereduced. Edge detection based algorithm was not successful, while color-shape based algorithm could detect apple fruits in 83.33% of images.
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  Cite this Reference:
M.B. Lak, S. Minaei, J. Amiriparian and B. Beheshti, 2010. Apple Fruits Recognition Under Natural Luminance Using Machine Vision.  Advance Journal of Food Science and Technology, 2(6): 325-327.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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