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Neural Computing and Applications

, Volume 28, Issue 10, pp 3009–3019 | Cite as

A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering

  • Yanhui GuoEmail author
  • Rong Xia
  • Abdulkadir Şengür
  • Kemal Polat
New Trends in data pre-processing methods for signal and image classification

Abstract

This paper presents a novel image segmentation algorithm based on neutrosophic c-means clustering and indeterminacy filtering method. Firstly, the image is transformed into neutrosophic set domain. Then, a new filter, indeterminacy filter is designed according to the indeterminacy value on the neutrosophic image, and the neighborhood information is utilized to remove the indeterminacy in the spatial neighborhood. Neutrosophic c-means clustering is then used to cluster the pixels into different groups, which has advantages to describe the indeterminacy in the intensity. The indeterminacy filter is employed again to remove the indeterminacy in the intensity. Finally, the segmentation results are obtained according to the refined membership in the clustering after indeterminacy filtering operation. A variety of experiments are performed to evaluate the performance of the proposed method, and a newly published method neutrosophic similarity clustering (NSC) segmentation algorithm is utilized to compare with the proposed method quantitatively. The experimental results show that the proposed algorithm has better performances in quantitatively and qualitatively.

Keywords

Image segmentation Neutrosophic set Clustering Indeterminate filter 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

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Copyright information

© The Natural Computing Applications Forum 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of Illinois at SpringfieldSpringfieldUSA
  2. 2.OracleWestminsterUSA
  3. 3.Department of Electrical and Electronics EngineeringFirat UniversityElazigTurkey
  4. 4.Department of Electrical and Electronics EngineeringAbant Izzet Baysal UniversityBoluTurkey

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