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Bubble delineation on valley edge detection and region merge
KTH.
2013 (English)In: Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology, ISSN 1000-1964, Vol. 42, no 6, 1060-1065 p.Article in journal (Refereed) Published
Abstract [en]

This paper propose an image segmentation algorithm for mineral froth images, based on multi-scale analysis, valley edge detection, edge thinning, end point detection and linking, and region merge on shape. The algorithm was tested for a number of different froth images and was compared to the watershed, similarity based and Canny operator based algorithms. The testing results show that the similarity or edge based algorithms cannot segment froth images well, and the watershed algorithm often causes over-segmentation, especially for the images of relative large bubbles. The accuracy and processing speed of the studied algorithm are better than that of the watershed algorithm. The test results show that the algorithm performs satisfactorily.

Place, publisher, year, edition, pages
2013. Vol. 42, no 6, 1060-1065 p.
Keyword [en]
Froth, Image segmentation, Multi-scale, Valley-edge, Watershed
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-141506Scopus ID: 2-s2.0-84891279943OAI: oai:DiVA.org:kth-141506DiVA: diva2:697354
Note

QC 20140218

Available from: 2014-02-18 Created: 2014-02-18 Last updated: 2014-02-18Bibliographically approved

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