2026-03-09T15:43:26Z https://mie-u.repo.nii.ac.jp/oai

oai:mie-u.repo.nii.ac.jp:00008223 2023-10-13T02:24:33Z 366:638:639

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 : 機械力学,計測,自動制御 池内, 崇 IKEUCHI, Takashi 小森, 照元 KOMORI, Terumoto 野村, 由司彦 NOMURA, Yoshihiko 松井, 博和 MATSUI, Hirokazu 加藤, 典彦 KATO, Norihiko 530 Bayes Estimation Propagation Law of Errors Estimation Error of a Posteriori Probability Landform Element Recognition application/pdf 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 article 日本機械学会 2001-04-25 VoR application/pdf 日本機械学會論文集. C編 656 76 1092 1098 AN00187463 0387-5024 https://mie-u.repo.nii.ac.jp/record/8223/files/72A6714.pdf http://hdl.handle.net/10076/8628 https://mie-u.repo.nii.ac.jp/records/8223 jpn http://ci.nii.ac.jp/naid/110002386116/ 社団法人日本機械学会 本文データは学協会の許諾に基づきCiNiiから複製したものである