A contour-based approach for invariant shape description

Evgeny Gladilin

doi:10.1117/12.533280

12 May 2004 A contour-based approach for invariant shape description

Evgeny Gladilin

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.533280
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

This work presents an approach for contour-based shape description, which addresses a large number of cognitive problems related to classification and recognition of 2D single closed contours. Exploiting basic observations about the shape invariant properties, we construct a normalization procedure that establishes the ground for generalized similarity matching between arbitrarily translated, rotated and scaled 2D shapes. A novel descriptor for global and detailed shape analysis is proposed. Cognitive experiments show that the proposed method suits for the recognition of typical silhouettes of conservative anatomical structures, e.g. outlines of vertebra or inner organs. Common issues for optimal data pre-processing and shape representation are discussed.

Citation Download Citation

Evgeny Gladilin "A contour-based approach for invariant shape description", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.533280

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