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
Modification of spatial distribution in primitive and point configuration texture model
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Shape-based Invariant Texture Indexing
International Journal of Computer Vision
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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This paper proposes a novel texture modeling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on the idea of obtaining a model of the elementary particles that form a texture by optimizing a gray scale-structuring element to fit the shape of elementary particles. The optimization method is applied in two stages: The first stage optimizes the extent of structuring element and the second optimizes the pixel values in the extent.