Multi-resolution analysis based salient contour extraction

Jing Wang*, Kazuo Kunieda, Makoto Iwata, Hirokazu Koizumi, Hideo Shimazu, Takeshi Ikenaga, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

抄録

Detecting salient contours in complex backgrounds is important in image analysis and scene understanding. The local context of an edge or line segment feature is commonly used to measure its saliency degree as a part of the object boundary. However, traditionally the context information is captured by studying several features in the predefined neighborhood. In this paper, a novel salient contour extraction algorithm based on the multi-resolution analysis is proposed and a new saliency measure is defined to characterize the significance of feature. Relation of features that are corresponding to the same part of the object boundary across resolutions is utilized to estimate the context information and feature significance value. Experimental results show that the proposed method can extract salient contours more efficiently than center-surround interaction based methods and still provide robust results.

本文言語English
ホスト出版物のタイトル2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
出版社Institute of Electrical and Electronics Engineers Inc.
ページ689-692
ページ数4
ISBN(印刷版)0780397339, 9780780397330
DOI
出版ステータスPublished - 2006 1月 1
イベント2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06 - Yonago, Japan
継続期間: 2006 12月 122006 12月 15

出版物シリーズ

名前2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06

Conference

Conference2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06
国/地域Japan
CityYonago
Period06/12/1206/12/15

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 信号処理
  • ソフトウェア
  • 電子工学および電気工学
  • 数学 (全般)

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