NDLI: CDSEG: Community detection for extracting dominant segments in color images

Content Provider	IEEE Xplore Digital Library
Author	Amiri, S.H. Abin, A.A. Jamzad, M.
Copyright Year	2011
Description	Author affiliation: Department of Computer Engineering, Sharif University of Technology, Tehran, Iran (Amiri, S.H.; Abin, A.A.; Jamzad, M.)
Abstract	Segmentation plays an important role in the machine vision field. Extraction of dominant segments with large number of pixels is essential for some applications such as object detection. In this paper, a new approach is proposed for color image segmentation which uses ideas behind the social science and complex networks to find dominant segments. At first, we extract the color and texture information for each pixel of input image. A network that consists of some nodes and edges is constructed based on the extracted information. The idea of community detection in social networks is used to partition a color image into disjoint segments. Community detection means partitioning vertices of a network into different non-overlapped groups (communities) such that the density of intra-group edges is much higher than the density of intergroup edges. There is a very close relation between communities in the social network and segments in an image. Our results show that community detection approaches will improve the segmentation output compare to other methods available in the literature.
Starting Page	177
Ending Page	182
File Size	1921940
Page Count	6
File Format	PDF
ISBN	9781457708411
ISSN	18455921
e-ISBN	9789531841597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-04
Publisher Place	Croatia
Access Restriction	Subscribed
Subject Keyword	Image segmentation Communities Image color analysis Object segmentation Signal processing algorithms Clustering algorithms Image edge detection Modularity measure Social networks Community detection
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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