A Comparison of Spatial Pattern Spectra

Authors:
Sander Land;Michael H. Wilkinson
Affiliations:
Institute for Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands 9700;Institute for Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands 9700
Venue:
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Year:
2009

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Abstract

Pattern spectra have frequently been used in image analysis. A drawback is that they are not sensitive to changes in spatial distribution of features. Various methods have been proposed to address this problem. In this paper we compare several of these on both texture classification and image retrieval. Results show that Size Density Spectra are most versatile, and least sensitive to parameter settings.