Object recognition by spectral feature derived from canonical shape representation

Document Type

Article

Publication Date

5-1-2013

Abstract

In this paper, we introduce a new spectral shape feature that can be used in content-based object recognition. We explain a new canonical string representation for a polygonal shape approximation from which the proposed spectral feature is derived. This spectral feature is a composition of Fourier coefficients of the shape function that is derived from the canonical representation. We applied the proposed feature in classification of lung nodules by means of our hierarchical learning scheme proposed in another study. The results show that the spectral feature is promising for lung nodule recognition. © 2012 Springer-Verlag Berlin Heidelberg.

Publication Source (Journal or Book title)

Machine Vision and Applications

First Page

855

Last Page

868

This document is currently not available here.

Share

COinS