Connected Rotation-Invariant Size-Shape Granulometries

Authors:
Erik R. Urbach;Jos B. T. M. Roerdink;Michael H. F. Wilkinson
Affiliations:
University of Groningen, The Netherlands;University of Groningen, The Netherlands;University of Groningen, The Netherlands
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Cited 2

Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture granularities

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing

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Abstract

In this paper we describe a rotation-invariant multi-scale morphological method for texture analysis. Compared with existing methods our method has three advantages. First, it can be implemented efficiently. Furthermore, our method can be used for the computation of size and strict shape attributes, which we use for the computation of 2-D size-shape pattern spectra. Finally, our method is rotation-invariant. Although the latter can also be approximated by morphological methods by using structuring elements at different angles, this tends to be computationally intensive.