Presentation | 2008-03-10 Extraction of Object Regions Using Shape Map and Local Features Koji IMAEDA, Miyako BABA, Nobuyuki SHIRAKI, Akihiro WATANABE, Yasushi HIRANO, Shoji KAJITA, Kenji MASE, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a novel method for extraction of a precise object region from a given rough initial region is proposed. The existing method for object region extraction using a kernel density estimator has problems, e.g. influence by the background edge in the initial region. The method is considered effective only when the image texture is simple or the initial region is considerably accurate. The proposed method, even if the initial region shape is rough and the image texture is complex, can correctly extract the object area by introducing a brightness histogram as a probability density function and an object shape distribution map as a priori probability for the preprocess of the kernel density estimator. It was confirmed that the accuracy and computation speed in general cases are improved in comparison to those of existing method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | object extraction histogtam / kernel density estimator / joint probability density function |
Paper # | IE2007-265,PRMU2007-249 |
Date of Issue |
Conference Information | |
Committee | IE |
---|---|
Conference Date | 2008/3/3(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 | Image Engineering (IE) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extraction of Object Regions Using Shape Map and Local Features |
Sub Title (in English) | |
Keyword(1) | object extraction histogtam |
Keyword(2) | kernel density estimator |
Keyword(3) | joint probability density function |
1st Author's Name | Koji IMAEDA |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Miyako BABA |
2nd Author's Affiliation | Toyota Central R&D Labs., Inc. |
3rd Author's Name | Nobuyuki SHIRAKI |
3rd Author's Affiliation | Toyota Central R&D Labs., Inc. |
4th Author's Name | Akihiro WATANABE |
4th Author's Affiliation | Toyota Central R&D Labs., Inc. |
5th Author's Name | Yasushi HIRANO |
5th Author's Affiliation | Information Technology Center, Nagoya University |
6th Author's Name | Shoji KAJITA |
6th Author's Affiliation | Information Technology Center, Nagoya University |
7th Author's Name | Kenji MASE |
7th Author's Affiliation | Information Technology Center, Nagoya University |
Date | 2008-03-10 |
Paper # | IE2007-265,PRMU2007-249 |
Volume (vol) | vol.107 |
Number (no) | 538 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |