pistachio varieties recognition using machine vision and gabor filters
نویسندگان
چکیده
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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عنوان ژورنال:
مهندسی بیوسیستم ایرانجلد ۴۳، شماره ۲، صفحات ۱۲۵-۱۳۱
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