Automatic Region Segmentation Method Based on Estimating Intensity-Distribution Parameters.
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- Watanabe Mutsumi
- Faculty of Engineering, Kagoshima University
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- Higashi Tomonori
- Kyusyu Visual Arts Technical School, Kyusyu Adachi Educational Foundation
Bibliographic Information
- Other Title
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- 明度分布パラメータ推定に基づく自動領域分割法
- メイド ブンプ パラメータ スイテイ ニ モトヅク ジドウ リョウイキ ブンカツホウ
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Abstract
We developed a method for initial region segmentation based on the mixture Gaussian model. First, the distribution parameters corresponding to objects in a scene are estimated from intensity histograms by using the EM algorithm. Next, the range parameters for region segmentation are determined by using the estimated distribution parameters. Finally, that images are segmented by using these range parameters. Experimental results obtained by using real scenes from a PC program showed that the method was effective for the initial region segmentation task. This method can be used in a variety of object recognition systems applied for various industrial applications, including surveillance, in fixed ground sub-systems of intelligent transport systems (ITS), and in welfare support systems.
Journal
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- The Journal of The Institute of Image Information and Television Engineers
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The Journal of The Institute of Image Information and Television Engineers 56 (2), 280-289, 2002
The Institute of Image Information and Television Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282680075834624
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- NII Article ID
- 110003670848
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- NII Book ID
- AN10588970
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- ISSN
- 18816908
- 13426907
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- NDL BIB ID
- 6055284
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed