Multistage image clustering and segmentation with normalised cuts

Choong, M. Y. and Liau, Chung Fan and Mountstephens, J. and Arifianto,, M. S. and Teo, Kenneth Tze Kin (2012) Multistage image clustering and segmentation with normalised cuts. In: 3rd International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2012), 8-10 February 2012, Kota Kinabalu, Sabah, Malaysia.

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Normalised cuts algorithm requires massive similarity measurement computation for image segmentation. Since a digital camera at present has the capability to produce high resolution image, it will be inevitably that resizing image into suitable resolution at which the algorithm can perform image segmentation with minimal burden. While retaining the important features in the images, natural images are likely to be restricted for resizing them into a particular smaller resolution. Dividing an image into equal size of regions (named as image cells) for the segmentation is proposed here to solve the problem of missing important features when the image resolution is overly reduced. Gradually, the locally segmented clusters from the image cells are taken for second stage segmentation to merge them up globally. In this paper, experimental results using the mentioned method are shown. Experiment shows that it is capable to produce reasonable segmented clusters based on the proposed approach.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Keyword: Image segmentation, Normalised cuts, Clustering
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics > TK8300-8360 Photoelectronic devices (General)
Department: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 16 Jul 2012 15:52
Last Modified: 08 Sep 2014 14:15

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