Presentation 2010-09-03
Study of Edge-Preserving Vectorization for Analyzing Biological Images
Yukie NAGAI, Yutaka OHTAKE, Hideo YOKOTA, Akitake MAKINOUCHI,
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Abstract(in English) Biological images are generally represented with sets of pixels. This representation, called as raster image, is simple, but not good for analysis if the image are noisy or low resolution. Biological images especially suffer from these difficulties because the observation object is alive. In this paper, we propose a novel algorithm to convert an observation image to a vector image which is a more suitable representation for analysis than a raster image. The generated image is not only smooth (less noise) but also preserving edges which have much information for an analysis.
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Keyword(in English) Partition of Unity / approximation / vectorization / edge-preservation
Paper # MI2010-56
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Committee MI
Conference Date 2010/8/27(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study of Edge-Preserving Vectorization for Analyzing Biological Images
Sub Title (in English)
Keyword(1) Partition of Unity
Keyword(2) approximation
Keyword(3) vectorization
Keyword(4) edge-preservation
1st Author's Name Yukie NAGAI
1st Author's Affiliation RIKEN()
2nd Author's Name Yutaka OHTAKE
2nd Author's Affiliation The University of Tokyo
3rd Author's Name Hideo YOKOTA
3rd Author's Affiliation RIKEN
4th Author's Name Akitake MAKINOUCHI
4th Author's Affiliation RIKEN
Date 2010-09-03
Paper # MI2010-56
Volume (vol) vol.110
Number (no) 195
Page pp.pp.-
#Pages 4
Date of Issue