A Binarization Method for the Character Extraction from Scene Image by the Blanket Method
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- YOSHIDA Hiromi
- Gaduate School of Maritime Science, Kobe University
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- TANAKA Naoki
- Gaduate School of Maritime Science, Kobe University
Bibliographic Information
- Other Title
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- ブランケット法を用いた文字列抽出に適した情景画像の2値化法
- ブランケットホウ オ モチイタ モジレツ チュウシュツ ニ テキシタ ジョウケイ ガゾウ ノ 2チカホウ
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Abstract
We propose a new global binarization method suited for character strings extraction from a scene image. To obtain a high-quality segmentation result, binarization is a significant step in character extraction process. Since character strings region of sign board has the wide variety of layout and color, it is hard to binarize this category of images by conventional global methods, which are based on statistical information. The proposed method can select a threshold by evaluating the fineness of the binarized image by using the fractal dimension. By evaluating the compactness and stability of the regions of binarized image with the fractal dimension calculated by blanket method, the proposed method achieves fine binarzation results, which are no way inferior to manually and/or using one of promising global methods known as Otsu binarizing method.
Journal
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- The Journal of the Institute of Image Electronics Engineers of Japan
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The Journal of the Institute of Image Electronics Engineers of Japan 39 (4), 463-472, 2010
The Institute of Image Electronics Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204611532032
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- NII Article ID
- 10026879086
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- NII Book ID
- AN00041650
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- ISSN
- 13480316
- 02859831
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- NDL BIB ID
- 10812129
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
- Crossref
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- Abstract License Flag
- Disallowed