Fast Line Detection by Hough Transform using Inter-image Operation
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- Murakami Kenji
- Graduate School of Science and Engineering, Ehime University
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- Aboshi Makoto
- Graduate School of Science and Engineering, Ehime University
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- Kinoshita Koji
- Graduate School of Science and Engineering, Ehime University
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- Isshiki Masaharu
- Graduate School of Science and Engineering, Ehime University
Bibliographic Information
- Other Title
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- 画像間演算を用いたHough変換による直線抽出の高速化
- ガゾウ カン エンザン オ モチイタ Hough ヘンカン ニ ヨル チョクセン チュウシュツ ノ コウソクカ
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Abstract
In image analysis, it is important to detect lines (straight lines) which represent edges of an object in the image. The most popular technique to detect lines is Hough Transform. In the transform, resulting peaks in the accumulator array which are gotten by a voting procedure in the parameter space represent strong evidence that a corresponding line exists in the image. In the voting procedure, a large number of votes which are far from the peaks are unnecessary and it makes the transform slow. In this paper, we propose a speed-up method by introducing a procedure in image space which removes lines except for the limited directional lines. Owing to the procedure, we can reduce voting range and remove the unnecessary vote. From the experimental results, we confirm that the proposed method has good performance.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 133 (8), 1539-1548, 2013
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204608788864
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- NII Article ID
- 10031189046
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 024846775
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed