Fuzzy Cube Granule Structure for Image Segmentation

Hongbing Liu; Chunhua Liu; Chang-an Wu; Jun Huang

Fuzzy Cube Granule Structure for Image Segmentation

원문정보

Hongbing Liu, Chunhua Liu, Chang-an Wu, Jun Huang

보안공학연구지원센터(IJMUE) International Journal of Multimedia and Ubiquitous Engineering Vol.10 No.6 2015.06 pp.141-150 SCOPUS

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초록

영어

Fuzzy Cube Granule Structure (FCGS) for image segmentation is proposed in the paper. Firstly, the atomic cube granule is represented as the vector including the YCbCr values of pixel of color image and radii 0. Secondly, the join operation between two cube granules is designed to obtain the larger cube granule. Thirdly, the FCGS is formed by the fuzzy inclusion measure defined by join operation and the user-defined granularity threshold . Global Consistency Error (GCE), Variation of Information (VI), Rand Index (RI) are used to evaluate the segmentations. Images selected from BSD300 are used to verify the feasibility of FCGS.

Abstract
1. Introduction
2. Fuzzy Cube Granule Structures
  2.1 Representation of Cube Granule
  2.2 Operations Between Two Granules
  2.3 Fuzzy Inclusion Measure
  2.4 Fuzzy Cube Granule Structure
3. Evaluation of Segmentation
  3.1. Global Consistency Error
  3.2. Variation of Information
  3.3. Rand Index
4. Experiments
5. Conclusion
Acknowledgments
References

키워드

저자정보

Hongbing Liu School of Computer and Information Technology, Xinyang Normal University Xinyang 464000, Henan Province, China
Chunhua Liu School of Computer and Information Technology, Xinyang Normal University Xinyang 464000, Henan Province, China
Chang-an Wu School of Computer and Information Technology, Xinyang Normal University Xinyang 464000, Henan Province, China
Jun Huang School of Computer and Information Technology, Xinyang Normal University Xinyang 464000, Henan Province, China

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