IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
Moments Added Statistical Shape Model for Boundary Extraction
Haechul CHOIHo Chul SHINSi-Woong LEEYun-Ho KO
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2009 Volume E92.D Issue 12 Pages 2524-2526


In this paper, we propose a method for extracting an object boundary from a low-quality image such as an infrared one. To take full advantage of a training set, the overall shape is modeled by incorporating statistical characteristics of moments into the point distribution model (PDM). Furthermore, a differential equation for the moment of overall shape is derived for shape refinement, which leads to accurate and rapid deformation of a boundary template toward real object boundary. The simulation results show that the proposed method has better performance than conventional boundary extraction methods.

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© 2009 The Institute of Electronics, Information and Communication Engineers
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