350 rub
Journal Achievements of Modern Radioelectronics №8 for 2018 г.
Article in number:
Images segmentation by the fuzzy clustering algorithm using texture-fractal features values estimates
Type of article: scientific article
DOI: 10.18127/j20700784–201808–03
UDC: 004.931; 004.932
Authors:

V.А. Kuznetsov – Ph.D. (Eng.), Senior Lecturer, MTSC Air Forces «MAA named professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh)

E-mail: kuzzviktor@mail.ru

А.N. Pototskiy – Junior Research Scientist, MTSC Air Forces «MAA named professor N.E. Zhukovsky and Y.A. Gagarin» (Voronezh)

E-mail: AntonPototskiy@mail.ru

Abstract:

The paper considers the question of evaluating the informativeness of a new image tex-ture fractal feature – a directed morphological multifractal signature. Experimental studies were carried out to determine the efficiency of synthesized and real images automated segmentation by the fuzzy c-means algorithm using the developed feature. The obtained results testify to a higher accuracy of image segmentation achieved by using a new texture-fractal feature. Conclusions are drawn about the need to optimize the developed algorithm in order to reduce computational costs.

Pages: 27-43
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Date of receipt: 22 января 2018 г.