Performance Inspection of Gray-Level Difference Method Using Standard Images
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- KAGA Akikazu
- 大阪大学
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- Lee In-Seop
- 大阪大学
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- Inoue Yoshio
- 大阪大学
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- Yamaguchi Katsuhito
- 大阪大学
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- Kwon Oh-Sung
- LG電子
Bibliographic Information
- Other Title
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- 115 標準画像を用いた輝度差累積法の性能評価
- ヒョウジュン ガゾウ オ モチイタ キドサ ルイセキホウ ノ セイノウ ヒョウ
Search this article
Abstract
Pattern tracking algorithm using gray level difference as a similarity index of image fragments are inspected thronugh the application to the standard images which simulate images visualized with particles. It is shown that the performance of the algorithm decreases suddenly when the percentage of the particle area decreases to lower than 20%. The performance decreases also to the condition of high out-of-plane velocity, but the generation of incorrect vectors are suppressed in the successive abandonment prepared as a high-speed version of tracking algorithm, provided the percentage of particle area is high enough, due to the effect of statistical inspection involved in the algorithm. An idea to improve the quality of visualized images to prevent the decrease of tracking performance is also proposed.
Journal
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- Journal of the Visualization Society of Japan
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Journal of the Visualization Society of Japan 18 (Supplement1), 75-78, 1998
The Visualization Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679596260480
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- NII Article ID
- 10002675543
- 130003648906
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- NII Book ID
- AN10374478
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- ISSN
- 1884037X
- 09164731
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- NDL BIB ID
- 4511013
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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