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)  [in Japanese] Image Recognition Method on Architectural Components from Architectural Photographs Glass Openings Recognition Based on Bayes Classification(New Frontiers of Architecture and Urbanism in Information Driven Society)  [in Japanese]

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.