Title: Image pre-processing of icing transmission line based on fuzzy clustering

Authors: Wang Jing; Zhang Hongbo; Han Ming; Yang Zhengyan

Addresses: Department of Computer Science, Tangshan Normal University, Tangshan Hebei 063000, China ' Department of Computer Science, Tangshan Normal University, Tangshan Hebei 063000, China ' Department of Computer Science and Engineering, Shijiazhuang University, Shi Jia Zhuang Hebei 050035, China ' Department of Computer Science and Engineering, Shijiazhuang University, Shi Jia Zhuang Hebei 050035, China

Abstract: Propose a kind of electric transmission lines icing image segmentation algorithm based on quick bi-circulating level set to improve effect of electric transmission lines icing image segmentation algorithm. First, carry out pre-treatment to greying of electric transmission lines icing image and decrease noise influence in image; second, improve fuzzy c mean value clustering algorithm and propose SPKFCM algorithm by increasing space penalty function, which is used for automatic initialisation of quick bi-circulating level set algorithm; finally, it is shown that proposed algorithm has better segmentation effect and segmentation efficiency by experiment contrast on electric transmission lines icing image.

Keywords: quick bi-circulation; level set; electric transmission lines; icing image; segmentation.

DOI: 10.1504/IJISTA.2018.095096

International Journal of Intelligent Systems Technologies and Applications, 2018 Vol.17 No.4, pp.375 - 385

Received: 17 May 2017
Accepted: 21 Jun 2017
Published online: 01 Oct 2018 *

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