Multimedia Tools and Applications

, Volume 78, Issue 5, pp 5181–5191 | Cite as

Pavement image segmentation based on fast FCM clustering with spatial information in internet of things

  • Guofeng QinEmail author
  • Qiutao Li


Pavement image segmentation needs to deal with noise spots and has real time requirement. The original FCM method only considers the pixel’s gray value and doesn’t fully utilize the spatial information of the image. A new fast FCM algorithm is proposed, and it has noise immunity. By comparing with other FCM algorithms, it achieves better segmentation results through less iteration times and more rapid runtime. It is an effective and noise-resistant algorithm for pavement image segmentation from video multimedia in IOT (internet of things) platform.


Pavement image segmentation Fast FCM Spatial information Noise immunity IOT 



Foundation item: The National 863 program in Ministry of Science and Technology of the People’s Republic of China (No.: 2013AA040302). Authors are grateful to the Ministry of Science and Technology of the People’s Republic of China for financial support to carry out this work.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Department of Computer Science and TechnologyTongji UniversityShanghaiChina

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