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    • 02) Bitlis Eren University Journal of Science and Technology
    • Cilt 11, Sayı 2 (2021)
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    •   DSpace Home
    • 2-DERGİLER
    • 02) Bitlis Eren University Journal of Science and Technology
    • Cilt 11, Sayı 2 (2021)
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    An Accurate HOG based Exemplar Pyramid Method for Image Classification of Astragalus L. Taxa

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    Date
    2021
    Author
    EMRE, İrfan
    TUNCER, Turker
    DOGAN, Sengul
    KÜRŞAT, Murat
    GEDIK, Osman
    KIRAN, Yaşar
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    Abstract
    As known from the literature, machine learning (ML) is one of the popular researches have been used variable areas. In this work, a novel exemplar pyramid method is presented to accurately classify Astragalus L. taxa by using their chromosome images. To implement ML to biological images, the proposed exemplar pyramid method is used. Histogram of Oriented Gradients (HOG) is utilized as feature generator. The proposed exemplar pyramid method consists of preprocessing, feature generation and concatenation, feature selection and classification phase. 10 classifiers are chosen to train and test the extracted features. According to results, the proposed exemplar pyramid generates discriminative features. because five of the used 10 classifiers achieved 100.0% classification rate.
    URI
    http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13888
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    • Cilt 11, Sayı 2 (2021) [11]





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