Research of Image Segmentation Algorithm Based on Clustering

DOI

10.2991/wartia-16.2016.39How to use a DOI?

Keywords

image segmentation, clustering, FCM, edge detection, adaptive threshold.

Abstract

Through the study of existing image segmentation algorithms, this paper improves the standard FCM-based image segmentation algorithm. And according to the principles of effective treatment on neighborhood image noise by mean filtering and median filtering, proposes a new similarity distance calculation method, which gives full consideration to the gray information and neighborhood information of pixels. Experimental results show that this improved algorithm has higher segmentation efficiency, while having a high segmentation accuracy and strong noise immunity.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pu Wan
AU  - Lisha Wang
PY  - 2016/05
DA  - 2016/05
TI  - Research of Image Segmentation Algorithm Based on Clustering
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 217
EP  - 222
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.39
DO  - 10.2991/wartia-16.2016.39
ID  - Wan2016/05
ER  -