Near-duplicate image recognition based on the rank distribution of the brightness clusters cardinality

Результат исследований: Материалы для журналаСтатья

5 Цитирования (Scopus)

Выдержка

In this paper the usage of multi-step segmentation for near-duplicate image recognition is investigated. The clustering of image pixels brightness is used for segmentation. The clustering is realized by means of a recurrent neural network. The search pattern based on the rank distributions of the brightness clusters cardinality is suggested. Experimental results on the near-duplicate image recognition based on the application of the suggested search pattern are given. It is shown that the use of a multi-step segmentation and rank distributions of the brightness clusters cardinality allows one to successfully recognize the duplicates, which are received by a considerable visual distortion of the original image or by the change of image scale.

Язык оригиналаАнглийский
Страницы (с-по)811-817
Число страниц7
ЖурналComputer Optics
Том38
Номер выпуска4
СостояниеОпубликовано - 2014

Отпечаток

Image recognition
Luminance
brightness
Recurrent neural networks
Pixels
pixels

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering
  • Computer Science Applications

Цитировать

Near-duplicate image recognition based on the rank distribution of the brightness clusters cardinality. / Nemirovskiy, V. B.; Stoyanov, A. K.

В: Computer Optics, Том 38, № 4, 2014, стр. 811-817.

Результат исследований: Материалы для журналаСтатья

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