Size-density spectra and their application to image classification
Pattern Recognition
A Comparison of Spatial Pattern Spectra
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Morphological description of color images for content-based image retrieval
IEEE Transactions on Image Processing
Spatial morphological covariance applied to texture classification
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Extending morphological covariance
Pattern Recognition
Comparative study of moment based parameterization for morphological texture description
Journal of Visual Communication and Image Representation
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Morphological pattern spectra computed from granulometries are frequently used to classify the size classes of details in textures and images. An extension of this technique, which retains information on the spatial distribution of the details in each size class is developed. Algorithms for computation of these spatial pattern spectra for a large number of granulometries on binary images are presented.