Volume 9 Number 4 (Apr. 2014)
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JCP 2014 Vol.9(4): 1033-1039 ISSN: 1796-203X
doi: 10.4304/jcp.9.4.1033-1039

An Integrated Algorithm of Spatial Fuzzy C-Means Clustering and Level Set for Indoor Scene Image Segmentation

Jili Lu1, 2, Mingxing Lin1, Qingdong Wang1, Yan Huang1
1School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China
2School of Mechanical and Electronic Engineering, Zaozhuang University, Zaozhuang 277160,China

Abstract—Traditional fuzzy clustering algorithm is applicable for noiseless image segmentation. However, it is powerless for the images with noise, special point values and defects. An algorithm which combines spatial fuzzy clustering and level set for indoor scene segmentation is proposed in this paper. Firstly, the image is classified using fuzzy clustering with space information to get a larger difference in image gray level; secondly, the image is segmented using level set; finally, the contour in the boundary of target area is gotten accurately. The improved method can not only preserve details of images but also reduce the number of iterations. The results show that the proposed method has good segmentation quality and efficiency in segmentation for indoor scene image.

Index Terms—spatial fuzzy c-means cluster; level set; indoor scene; image segmentation; fusion

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Cite: Jili Lu, Mingxing Lin, Qingdong Wang, Yan Huang, "An Integrated Algorithm of Spatial Fuzzy C-Means Clustering and Level Set for Indoor Scene Image Segmentation," Journal of Computers vol. 9, no. 4, pp. 1033-1039, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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