建築画像からの建築構成要素の認識手法に関する研究 : ベイズ判別によるガラス開口部の認識(第4部学術論文,情報化の視点からみた建築・都市のフロンティア)

概要

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A classifier for recognizing glass opening from architectural photographs based on extended Naive Bayes is proposed. From preliminary experiment we determine 3 possible candidates of attributes to represent color pixel each of which uses 6 color characteristics obtained together with x-y coordinates representing the relative position of the pixel in such a way that six color attributes are grouped into three pairs to be used in the extended Naive Bayes. Constructing the classifier based on the extended Naive Bayes which predicts whether a pixel represents glass or not, region segmentation is carried out based on MST. The computer experiments are carried out to demonstrate the effectiveness of the proposed method.
2006-02-20