仮想超画素と大域的特徴による領域分割と背景と目立対象物の抽出

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: 2016/02/01

タイトル(英語): Region Segmentation, Background and Salient Object Extraction by VSP and Global Features

著者名: 森　文彦（玉川大学脳科学研究所），菅野　直敏（玉川大学工学部）

著者名(英語): Fumihiko Mori (Brain Science Laboratory, Tamagawa University), Naotoshi Sugano (Faculty of Engineering, Tamagawa University)

キーワード: 仮想超画素，領域分割，大域的特徴群，目立度，領域間の隣接関係，背景　　virtual super pixel，region segmentation，global features，saliency，adjacent relation between regions，background

要約(英語): A new region segmentation and salient object extraction method is constructed based on virtual super pixel and global features. The salient object region was obtained through the following process: (1) extraction of the background regions, (2) calculation of the saliency of the segmented region, (3) unification of the low-saliency regions to the high ones. One of the important elements of the region saliency is the contrast between adjacent regions. However, it is hard to find a conventional method treating the adjacent situation between regions. In this paper the adjacent situation between regions was easily extracted using the VSP and it was used to calculate the contrast with adjacent regions. The salient objects extracted through the proposed method matched those extracted by humans and the scores of F-measure applied to the database CSSD composed of 200 images and the ECSSD of 1000 images were about the same as those presented in Yan et al. (2013) and Shi et al. (2015).

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.2 （2016）

本誌掲載ページ: 180-188 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/136/2/136_180/_article/-char/ja/