Segmentation of images on polar coordinate meshes

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

The Chan-Vese level set algorithm has been successfully applied to segmentation of images on Cartesian coordinate meshes, including ordinary planar images. In this paper we present a Chan-Vese model for segmentation of images on polar coordinate meshes, such as topography and remote sensing images. The image segmentation is accomplished by formulating the associated evolution equation in the polar coordinate system and then numerically solving the partial differential equation on an overset grid system called the Yin-Yang grid, which is free from the problem of singularity at the poles. We include examples of segmentations of real earth data that demonstrate the performance of our method.

本文言語英語
ホスト出版物のタイトル2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
ページII245-II248
DOI
出版ステータス出版済み - 2007
イベント14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, 米国
継続期間: 9月 16 20079月 19 2007

出版物シリーズ

名前Proceedings - International Conference on Image Processing, ICIP
2
ISSN(印刷版)1522-4880

その他

その他14th IEEE International Conference on Image Processing, ICIP 2007
国/地域米国
CitySan Antonio, TX
Period9/16/079/19/07

!!!All Science Journal Classification (ASJC) codes

  • 工学一般

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