A Spatially Correlated Mixture Model for Image Segmentation

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/12388
ファイル
タイトル
A Spatially Correlated Mixture Model for Image Segmentation
著者
氏名 KURISU Kosei
ヨミ クリス コウセイ
別名 栗栖 昂勢
氏名 SUEMATSU Nobuo
ヨミ スエマツ ノブオ
別名 末松 伸朗
氏名 IWATA Kazunori
ヨミ イワタ カズノリ
別名 岩田 一貴
氏名 HAYASHI Akira
ヨミ ハヤシ アキラ
別名 林 朗
キーワード
image segmentation
Gaussian processes
mixture models
抄録

In image segmentation, finite mixture modeling has been widely used. In its simplest form, the spatial correlation among neighboring pixels is not taken into account, and its segmentation results can be largely deteriorated by noise in images. We propose a spatially correlated mixture model in which the mixing proportions of finite mixture models are governed by a set of underlying functions defined on the image space. The spatial correlation among pixels is introduced by putting a Gaussian process prior on the underlying functions. We can set the spatial correlation rather directly and flexibly by choosing the covariance function of the Gaussian process prior. The effectiveness of our model is demonstrated by experiments with synthetic and real images.

査読の有無
掲載雑誌名
IEICE Transactions on Information and Systems
E98-D
4
開始ページ
930
終了ページ
937
出版年月日
2015-4-1
出版者
社団法人電子情報通信学会
ISSN
09168532
NCID
AA10826272
AA11226532
DOI
10.1587/transinf.2014EDP7307
NAID
130005061856
本文言語
日本語
資料タイプ
学術雑誌論文
著者版フラグ
出版社版
権利情報
Copyright © 2015 The Institute of Electronics, Information and Communication Engineers
関連URL
旧URI
区分
hiroshima-cu