Image Segmentation into Object and Background Regions
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- Ohata Fukashi
- Graduate School of Information Science, Nagoya University
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- Takeuchi Yoshinori
- Graduate School of Information Science, Nagoya University
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- Matsumoto Tetsuya
- Graduate School of Information Science, Nagoya University
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- Kudo Hiroaki
- Graduate School of Information Science, Nagoya University
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- Ohnishi Noboru
- Graduate School of Information Science, Nagoya University
Bibliographic Information
- Other Title
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- オブジェクトと背景への画像の領域分割(視聴覚技術,ヒューマンインタフェース)
- オブジェクトと背景への画像の領域分割
- オブジェクト ト ハイケイ エ ノ ガゾウ ノ リョウイキ ブンカツ
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Description
We propose a method for segmenting a color image into object and background regions by a computer. The task of the method is extracting unknown objects which consist of some color regions without any help of users. The image is initially segmented into small regions by k-means clustering. Next, small regions are repeatedly merged by five merging rules. The merging rules are based on information about positional relationship or shape of small regions, and "the degree of focus" showing whether the region was in focus or not when the picture was taken. We conducted experiments with actual images to compare to the conventional method which has the similar problem setting. The results show that the proposed method is better in terms of the precision of boundaries.
Journal
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- ITE Technical Report
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ITE Technical Report 35.16 (0), 9-12, 2011
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390001204528355584
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- NII Article ID
- 110008609569
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 11028890
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed