Contour-based shape representation using principal curves

Authors:
Esra Ataer-Cansizoglu;Erhan Bas;Jayashree Kalpathy-Cramer;Greg C. Sharp;Deniz Erdogmus
Affiliations:
Cognitive Systems Laboratory, Northeastern University, Boston, MA, United States;GE Global Research, Niskayuna, NY, United States;Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States;Massachusetts General Hospital, Boston, MA, United States;Cognitive Systems Laboratory, Northeastern University, Boston, MA, United States
Venue:
Pattern Recognition
Year:
2013

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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.