Image Segmentation Based on Visual Perception Model

DOI

10.2991/iccasm.2012.18How to use a DOI?

Keywords

Visual perception model, Image segmentation, Normalized cuts, Feather extraction

Abstract

Image segmentation is the basis of image processing and image analysis. However, there are no common method that can be used in natural images, and present methods fail to explain understandings of human’s visual system. In this paper, we propose to apply Karklin's visual perception model to extract feature vectors of images, and the features are clustered with K-means method. The results obtained in feature space are projected back to the image space to finish segmentation. A comparison with the Normalized Cuts (Ncut) method is done, and it turns out that proposed method outperform Ncut in texture rich images.

Copyright

© 2012, 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  - Shuai Shao
AU  - Fuqing Duan
AU  - Ping Guo
PY  - 2012/08
DA  - 2012/08
TI  - Image Segmentation Based on Visual Perception Model
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 72
EP  - 74
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.18
DO  - 10.2991/iccasm.2012.18
ID  - Shao2012/08
ER  -