Derin inanç aǧlari ve yerel özniteliklerin birlikte kullanimi ile bitki tanima

Hulya Yalcin*

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4 Atıf (Scopus)

Özet

During the past decades, recognition of plant types has attracted the attention of numerous researchers due to its outstanding applications including precision agriculture. Applying to the video frames, this paper proposes a hybrid method which combines the features extracted from the images using the SIFT, HOG and GIST descriptors and classifies the plants by means of the deep belief network. First, in order to avoid ineffective features, a pre-processing course is performed on the image. Then, the mentioned descriptors extract several features from the image. Due to the problems of working with a large number of the features, a small and distinguishing feature set is produced using the bag of words technique. Finally, these reduced features are given to a deep belief network in order to recognize the plants. Comparing the results of the proposed method with some other existing methods demonstrates an improvement in the accuracy, precision and recall measures for the approach of this work in the plant recognition.

Tercüme edilen katkı başlığıPlant recognition based on deep belief network classifier and combination of local features
Orijinal dilTürkçe
Ana bilgisayar yayını başlığıSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665436496
DOI'lar
Yayın durumuYayınlandı - 9 Haz 2021
Etkinlik29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 - Virtual, Istanbul, Turkey
Süre: 9 Haz 202111 Haz 2021

Yayın serisi

AdıSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings

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???event.eventtypes.event.conference???29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021
Ülke/BölgeTurkey
ŞehirVirtual, Istanbul
Periyot9/06/2111/06/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Computer vision
  • Deep belief networks
  • Plant recognition
  • Precision agriculture

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