Detection and separation of generic-shaped objects by fuzzy clustering

Title: Detection and separation of generic-shaped objects by fuzzy clustering
Creator: Ali, Mohammad; Karmakar, Gour; Dooley, Laurence
Date: 2010
Type: Text; Journal article
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/40623
Identifier: vital:6202
Identifier: https://doi.org/10.1108/17563781011066684
Identifier: ISSN:1756-378X
Abstract: Image segmentation involves the separation of mutually exclusive regions/objects of interest (Gonzalez and Woods, 2002), and is integral to the image processing, coding and interpretation domains, with examples of some of the eclectic range of applications including: image analysis, robot vision, automatic car assembly, security surveillance systems, object recognition and medical imaging (Gonzalez and Woods, 2002; Hoppner et al., 1999; Pham and Prince, 1999; Gath and Geva, 1989; Pal and Pal, 1993). As there are potentially a very large number of perceptual objects in an image, with subtle variations between them, this makes generalised object-based segmentation an especially challenging task.
Relation: International Journal of Intelligent Computing and Cybernetics Vol. 3, no. 3 (2010 2010), p. 365-390
Rights: Emerald Group Publishing
Rights: This metadata is freely available under a CCO license
Subject: 0801 Artificial Intelligence and Image Processing
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