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Easy-to-use object selection by color space projections and watershed 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, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2005 (English)In: Image Analysis and Processing: ICIAP 2005 13th International Conference, Cagliari, Italy, September 6-8, 2005. Proceedings, 2005, 269-276 p.Conference paper, Published paper (Refereed)
Abstract [en]

Digital cameras are gaining in popularity, and not only experts in image analysis, but also the average users, show a growing interest in image processing. Many different kinds of software for image processing offer tools for object selection, or segmentation, but most of them require expertise knowledge, or leave too little freedom in expressing the desired segmentation. This paper presents an easy to use tool for object segmentation in color images. The amount of user interaction is minimized, and no tuning parameters are needed. The method is based on the watershed segmentation algorithm, combined with seeding information given by the user, and color space projections for optimized object edge detection. The presented method can successfully segment objects in most types of color images.

Place, publisher, year, edition, pages
2005. 269-276 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 3617
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-73670DOI: 10.1007/11553595ISBN: 978-3-540-28869-5 (print)OAI: oai:DiVA.org:uu-73670DiVA: diva2:101580
Available from: 2005-06-14 Created: 2005-06-14 Last updated: 2010-03-10Bibliographically approved

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