DocumentCode :
2307834
Title :
Shape analysis algorithm based on information theory
Author :
Page, D.L. ; Koschan, A.F. ; Sukumar, S.R. ; Roui-Abidi, B. ; Abid, M.A.
Author_Institution :
Imaging Robotics & Intelligent Syst. Lab., Tennessee Univ., Knoxville, TN, USA
Volume :
1
fYear :
2003
fDate :
14-17 Sept. 2003
Abstract :
In this paper, we describe an algorithm to measure the shape complexity for discrete approximations of planar curves in 2D images and manifold surfaces for 3D triangle meshes. We base our algorithm on shape curvature, and thus we compute shape information as the entropy of curvature. We present definitions to estimate curvature for both discrete curves and surfaces and then formulate our theory of shape information from these definitions. We demonstrate our algorithm with experimental results.
Keywords :
entropy; image processing; multidimensional signal processing; discrete approximations; entropy; information theory; manifold surfaces; planar curve; shape analysis algorithm; shape curvature; three-dimensional triangle meshes; Algorithm design and analysis; Boring; Entropy; Information analysis; Information theory; Intelligent robots; Intelligent systems; Laboratories; Mathematics; Shape measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7750-8
Type :
conf
DOI :
10.1109/ICIP.2003.1246940
Filename :
1246940
Link To Document :
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