Presentation | 2010-09-03 Study of Edge-Preserving Vectorization for Analyzing Biological Images Yukie NAGAI, Yutaka OHTAKE, Hideo YOKOTA, Akitake MAKINOUCHI, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Partition of Unity / approximation / vectorization / edge-preservation |
Paper # | MI2010-56 |
Date of Issue |
Conference Information | |
Committee | MI |
---|---|
Conference Date | 2010/8/27(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
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 |