Contour-based shape representation using principal curves

Esra Ataer-Cansizoglu; Erhan Bas; Jayashree Kalpathy-Cramer; Greg C. Sharp; Deniz Erdogmus

doi:10.1016/j.patcog.2012.10.014

Contour-based shape representation using principal curves

Esra Ataer-Cansizoglu, Erhan Bas, Jayashree Kalpathy-Cramer, Greg C. Sharp, Deniz Erdogmus

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

Extraction and representation of contours are challenging problems and are crucial for many image processing applications. In this study, given a membership function that returns the score of a point belonging to a contour, we propose a method for contour representation based on the principal curve (PC) of this function. The proposed method provides a piecewise linear representation of the contour with fewer points while preserving shape. Varied experiments are conducted, including lung boundary representation in CT images and shape representation in handwritten images. The results show that the technique provides accurate shape representation.

Original language	English (US)
Pages (from-to)	1140-1150
Number of pages	11
Journal	Pattern Recognition
Volume	46
Issue number	4
DOIs	https://doi.org/10.1016/j.patcog.2012.10.014
State	Published - Apr 2013
Externally published	Yes

Keywords

Curve/contour matching
Shape representation and analysis

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/j.patcog.2012.10.014

Cite this

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title = "Contour-based shape representation using principal curves",

abstract = "Extraction and representation of contours are challenging problems and are crucial for many image processing applications. In this study, given a membership function that returns the score of a point belonging to a contour, we propose a method for contour representation based on the principal curve (PC) of this function. The proposed method provides a piecewise linear representation of the contour with fewer points while preserving shape. Varied experiments are conducted, including lung boundary representation in CT images and shape representation in handwritten images. The results show that the technique provides accurate shape representation.",

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AU - Ataer-Cansizoglu, Esra

AU - Bas, Erhan

AU - Kalpathy-Cramer, Jayashree

AU - Sharp, Greg C.

AU - Erdogmus, Deniz

N1 - Funding Information: We thank Murat Akcakaya and Sarah Brown for assistance with editing the manuscript. This work was partially supported by NSF under grants BCS-1027724 , IIS1118061 , IIS-1149570 , and by NIH under grant 8P41GM103545-14 .

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N2 - Extraction and representation of contours are challenging problems and are crucial for many image processing applications. In this study, given a membership function that returns the score of a point belonging to a contour, we propose a method for contour representation based on the principal curve (PC) of this function. The proposed method provides a piecewise linear representation of the contour with fewer points while preserving shape. Varied experiments are conducted, including lung boundary representation in CT images and shape representation in handwritten images. The results show that the technique provides accurate shape representation.

AB - Extraction and representation of contours are challenging problems and are crucial for many image processing applications. In this study, given a membership function that returns the score of a point belonging to a contour, we propose a method for contour representation based on the principal curve (PC) of this function. The proposed method provides a piecewise linear representation of the contour with fewer points while preserving shape. Varied experiments are conducted, including lung boundary representation in CT images and shape representation in handwritten images. The results show that the technique provides accurate shape representation.

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KW - Shape representation and analysis

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Contour-based shape representation using principal curves

Abstract

Keywords

ASJC Scopus subject areas

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