Pattern Spectrum and Multiscale Shape Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Modeling by Optimal Gray Scale Structuring Elements Using Morphological Pattern Spectrum
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Morphological texture analysis using optimization of structuring elements
Proceedings of the 11th international conference on Theoretical foundations of computer vision
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Primitive and grain estimation using flexible magnification for a morphological texture model
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
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We have investigated "Primitive and Point Configuration (PPC) texture model," which regards a texture to be composed by arranging grains that are derived from one or a few primitives by some modification. The PPC texture model is able to characterize primitive shapes and grain location configuration independently. We propose in this paper methods of manipulating for the grain location configuration. These methods enable to manipulate global characteristics of a texture independently on local ones. Our methods modify the grain configuration using random point process and generate different textures while preserving the original primitive shape.