Error Analysis Bayse' a Posteriori Probability Error Propagated from Data Error.
Bibliographic Information
- Other Title
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- 計測データ誤差に基づくベイズ事後確率の伝搬誤差の解析
- 1020 データ誤差に基づくベイズ事後確率の伝搬誤差の解析
- ケイソク データ ゴサ ニ モトヅク ベイズ ジゴ カクリツ ノ デンパン ゴサ ノ カイセキ
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Description
Bayesian estimation is often applied in pattern recognition problems. We formulate estimation errors of a posteriori Bayesian probabilities to be propagated from observation. Next, we apply the scheme of the formulation to a practical image recognition problem : based on a posteriori probabilities, sectionalized regions in outdoor-scene images are classified into five categories of landform elements, i, e., asphalt, concrete, sand/soil, gravel, and grass. The errors originate from RGB pixel values, and propagate to the a posteriori probabilities via intermediary HIS color measures within a region. We concretely clarify a mechanism of the propagation for all steps, and show an effectiveness of the scheme by adducing changeovers between a posteriori probabilities with two kinds of landform elements.
Journal
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- TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
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TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 67 (656), 1092-1098, 2001
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390001206328024576
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- NII Article ID
- 110002522243
- 130004084266
- 110002386116
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- NII Book ID
- AN00187463
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- ISSN
- 18848354
- 24331325
- 03875024
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- NDL BIB ID
- 5763020
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed