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Title: Image filtering and segmentation using kernel density estimation [articol]
Authors: Gui, Vasile
Laitinen, Jyrki
Alexa, Florin
Subjects: Edge preserving smoothing
Mode location
Mean shift
Issue Date: 2008
Publisher: Timişoara:Editura Politehnica
Citation: Gui, Vasile. Image filtering and segmentation using kernel density estimation. Timişoara: Editura Politehnica, 2008
Series/Report no.: Seria electronică şi telecomunicaţii;Tom 53(67), fasc. 2 (2008), p. 177-182
Abstract: Kernel density estimation and mode finding techniques play an active role in solving contemporary computer vision problems, like edge preserving smoothing, segmentation, registration, motion estimation and tracking. The mean shift algorithm is a popular approach to locate density modes. Recently we proposed the multiscale mode filter, a generalization of the mean shift filter, which is able to avoid spurious modes while minimizing outlier sensitivity. In this paper we evaluate the effectiveness of the multiscale mode filter in edge preserving smoothing and image segmentation.
URI: http://localhost:8080/xmlui/handle/123456789/1655
Appears in Collections:Articole stiintifice/Scientific articles

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