位置の統計量と特徴の類似性によるカラー画像の領域分割法

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: 2011/11/01

タイトル(英語): Color Image Segmentation Based on Statistics of Location and Feature Similarity

著者名: 森　文彦（玉川大学），山田　博三（玉川大学），水野　真（玉川大学），菅野　直敏（玉川大学）

著者名(英語): Fumihiko Mori (Tamagawa University), Hiromitsu Yamada (Tamagawa University), Makoto Mizuno (Tamagawa University), Naotoshi Sugano (Tamagawa University)

キーワード: 領域分割，逐次処理，位置の統計量，目立ち度，大域的特徴，多次元凸閉包　　image segmentation，sequential process，statistics of location，conspicuity degree，global feature，multidimensional convex hull

要約(英語): The process of "image segmentation and extracting remarkable regions" is an important research subject for the image understanding. However, an algorithm based on the global features is hardly found. The requisite of such an image segmentation algorism is to reduce as much as possible the over segmentation and over unification. We developed an algorithm using the multidimensional convex hull based on the density as the global feature. In the concrete, we propose a new algorithm in which regions are expanded according to the statistics of the region such as the mean value, standard deviation, maximum value and minimum value of pixel location, brightness and color elements and the statistics are updated. We also introduced a new concept of conspicuity degree and applied it to the various 21 images to examine the effectiveness. The remarkable object regions, which were extracted by the presented system, highly coincided with those which were pointed by the sixty four subjects who attended the psychological experiment.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.11 （2011） 特集：電気関係学会関西連合大会

本誌掲載ページ: 2022-2029 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/131/11/131_11_2022/_article/-char/ja/