Pattern Spectrum and Multiscale Shape Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characteristic interaction structures in Gibbs texture modelling
Imaging and vision systems
Texture Analysis Using Morphological Pattern Spectrum and Optimization of Structuring Elements
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Texture Modeling by Optimal Gray Scale Structuring Elements Using Morphological Pattern Spectrum
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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
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This paper proposes a method of texture analysis using morphological size distribution. Our framework is based on the concept that a texture is described by estimation of primitive, size distribution of grains derived from the primitive, and spatial distribution of the grains. We concentrate on estimation of primitive using an assumption on grain size distribution. We assume a model that grains are derived from one primitive, and a uniform size distribution since we consider target textures containing grains of various sizes. Thus the structuring element used for the measurement of size distribution is optimized to obtain the most uniform size density function. The optimized structuring element is an estimate of the primitive under the assumption. Simulated annealing algorithm is employed for the optimization.