Structural Pattern Recognition and Pitch Estimation of Aggregated Dot Patterns by Using of Constraints in Parametric Space
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- Satou Kenji
- Sumitomo Metal Mining Co., Ltd.
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- Takauji Hidenori
- Graduate School of Information Science and Technology, Hokkaido University
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- Sugihara Jun
- Sumitomo Metal Mining Co., Ltd.
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- Kaneko Shun'ichi
- Graduate School of Information Science and Technology, Hokkaido University
Bibliographic Information
- Other Title
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- パラメータ空間の拘束条件に基づく偏在点群の直線パターン認識とピッチ推定
- パラメータ クウカン ノ コウソク ジョウケン ニ モトズク ヘンザイテングン ノ チョクセン パターン ニンシキ ト ピッチ スイテイ
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Abstract
In this paper, we refer to images obtained by mapping dots observed during defect inspections as secondary images. We propose a method of extracting information for specifying the causes of distinctive structural patterns that appear in the secondary images. We suggest the use of a light process for conducting real-time inspection and the feature extraction process simultaneously. The patterns that appear in the secondary images are lines and random dots. In this study, we focus on the recognition of vertical or horizontal line patterns. Vertical or horizontal line patterns are characteristic of secondary images and appear frequently in these images. In parametric space, vertical and horizontal lines are constrained in a specific area. Since our method involves the use of constraints, it performs fast characteristic extractions. Our method is robust to the variation of the average dot densities of the secondary image and helps to realize low-cost recognition.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 131 (4), 515-521, 2011
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
- 1390282679635105408
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- NII Article ID
- 10027980503
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 11064606
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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