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Information Journal Paper

Title

PISTACHIO VARIETIES RECOGNITION USING MACHINE VISION AND GABOR FILTERS

Pages

  125-131

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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    • Cite

    APA: Copy

    SHAMSI GOSHKI, A., SARYAZDI, S., NEZAMABADI POUR, H., & SHAMSI GOSHKI, H.. (2012). PISTACHIO VARIETIES RECOGNITION USING MACHINE VISION AND GABOR FILTERS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 43(2), 125-131. SID. https://sid.ir/paper/144367/en

    Vancouver: Copy

    SHAMSI GOSHKI A., SARYAZDI S., NEZAMABADI POUR H., SHAMSI GOSHKI H.. PISTACHIO VARIETIES RECOGNITION USING MACHINE VISION AND GABOR FILTERS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2012;43(2):125-131. Available from: https://sid.ir/paper/144367/en

    IEEE: Copy

    A. SHAMSI GOSHKI, S. SARYAZDI, H. NEZAMABADI POUR, and H. SHAMSI GOSHKI, “PISTACHIO VARIETIES RECOGNITION USING MACHINE VISION AND GABOR FILTERS,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 43, no. 2, pp. 125–131, 2012, [Online]. Available: https://sid.ir/paper/144367/en

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