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A new evolutionary algorithm for image segmentation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. (immunterapi (Ola Winqvist))
2005 (English)In: Applications of evolutionary computing, 2005, 264-273 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a new evolutionary algorithm for image segmentation. The evolution involves the colonization of a bidimensional world by a number of populations. The individuals, belonging to different populations, compete to occupy all the available space and adapt to the local environmental characteristics of the world. We present experiments with synthetic images, where we show the efficiency of the proposed method and compare it to other segmentation algorithm, and an application to medical images. Reported results indicate that the segmentation of noise images is effectively improved. Moreover, the proposed method can be applied to a wide variety of images.

Place, publisher, year, edition, pages
2005. 264-273 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 3449
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-73890DOI: 10.1007/b106856ISBN: 3-540-25396-3 (print)OAI: oai:DiVA.org:uu-73890DiVA: diva2:101801
Available from: 2005-07-13 Created: 2005-07-13 Last updated: 2010-03-01Bibliographically approved

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Hässler, Signe

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