Local curvature scale: a new concept of shape description

Sylvia Rueda; Jayaram Koteshwar Udupa; Li Bai

doi:10.1117/12.770444

11 March 2008 Local curvature scale: a new concept of shape description

Sylvia Rueda, Jayaram Koteshwar Udupa, Li Bai

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69144Q (2008) https://doi.org/10.1117/12.770444
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

A new boundary shape description based on the notion of curvature-scale is presented. This shape descriptor performs better than the commonly used Rosenfeld's method of curvature estimation and can be applied directly to digital boundaries without requiring prior approximations. It can extract special points of interest such as convex and concave corners, straight lines, circular segments, and inflection points. The results show that this method produces a complete boundary shape description capable of handling different levels of shape detail. It also has numerous potential applications such as automatic landmark tagging which becomes necessary to build model-based approaches toward the goal of organ modelling and segmentation.

Citation Download Citation

Sylvia Rueda, Jayaram Koteshwar Udupa, and Li Bai "Local curvature scale: a new concept of shape description", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69144Q (11 March 2008); https://doi.org/10.1117/12.770444

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available