最適配置された画素群の濃度共起発生確率に着目した画像のテクスチャ量にロバストな照合手法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/10/01

タイトル(英語): A Robust Matching Method for Low-textured Image based on Co-occurrence Probability of Geometry-Optimized Pixel Patterns

著者名: 秋月　秀一（中京大学大学院 情報科学研究科），橋本　学（中京大学大学院 情報科学研究科）

著者名(英語): Shuichi Akizuki (Graduate School of Information Science and Technology, Chukyo University), Manabu Hashimoto (Graduate School of Information Science and Technology, Chukyo University)

キーワード: 画像照合，画素選択，濃度共起確率，低テクスチャ画像，組み合わせ最適化　　image matching，pixel selection，co-occurrence probability，low-textured image，combinatorial optimization

要約(英語): In this paper, we propose a template matching algorithm which is applicable for low-textured image like a range image. As for high-speed template matching, the Co-occurrence Probability-based Template Matching (CPTM) is a useful and effective method. This method uses some sets of selected pixel patterns that have relatively low occurrence probability in a template image. By using such a small number of distinctive data, reliable matching has been achieved in addition to high-speed processing. However, this method has a problem that extraction of distinctive pixels will be difficult when distribution of occurrence probability is uniform, for example, it is frequently appeared in range image. We improve the CPTM method for dealing with this problem. A key idea is to optimize geometric pixel relation in the pixel pattern when the proposed method calculates occurrence probability of pixel patterns. Experimental results have confirmed that the proposed method increase the detection rate from 73% to 90% without sacrificing its ability of high-speed. It means that performance of our method is prior to other conventional methods.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.10 （2013） 特集：分散エネルギーマネジメント

本誌掲載ページ: 1943-1949 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/10/133_1943/_article/-char/ja/