Pistachio Varieties Recognition using Machine Vision and Gabor Filters

Document Type : Research Paper

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Abstract

A new method based upon Gabor filter and machine vision for the recognition of pistachio varieties is proposed throughout the current study. In the suggested method, the image of a set number of pistachios is considered to represent a texture; instead of one by one pistachio processing (which is actually done in the current methods) the new method is expected to represent a higher rating as well as a higher performance. To evaluate the proposed method, it was applied on an image of a set of pistachios' containing 1000 sub-images of 5 varieties of the fruit and using a K-means clustering to classify the product. The experimental results confirm the efficiency of the method by a classification rating of 94.8%.

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History

  • Receive Date: 24 July 2011
  • Revise Date: 18 September 2013
  • Accept Date: 17 April 2012

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