Title: Comparison of mean shift algorithms and evaluation of their stability
Authors: Šrubař, Štěpán
Šurkala, Milan
Citation: WSCG ’2011: Poster Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision: University of West Bohemia, Plzen, Czech Republic, January 31 - February 3, 2011, p. 13-16.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG_Poster_Papers.pdf
ISBN: 978-80-86943-81-7
Keywords: segmentační algoritmy
Keywords in different language: mean shift;segmentation algorithms
Abstract: Mean Shift is an universal and robust segmentation algorithm used also for image segmentation. Implementation corresponding to definition is slow for real-time image processing, thus some faster variants were proposed. Speed and quality of the segmentation can be influenced by the variant of the algorithm as well as by setting its parameters. Modification of a parameter causes change of number of segments and their shape as well. By using segmentation evaluation algorithm, we analyze and present these changes for original and modified Mean Shift algorithms. Influence of noise is also studied.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Poster Paper Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/406

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