Pattern Spectrum and Multiscale Shape Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
The nature of statistical learning theory
The nature of statistical learning theory
Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Spatial Size Distributions: Applications to Shape and Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Generalized Pattern Spectra Sensitive to Spatial Information
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Object-Based Image Analysis Using Multiscale Connectivity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale Connected Operators
Journal of Mathematical Imaging and Vision
A general axiomatic theory of intrinsically fuzzy mathematical morphologies
IEEE Transactions on Fuzzy Systems
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
Hypercomplex Mathematical Morphology
Journal of Mathematical Imaging and Vision
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We develop a density opening operator that is shown to satisfy the properties of an algebraic opening. This density opening enables the development of a number of variants of pattern spectra, which quantify the size or density information of a blob arrangement within the image. In contrast to regular morphological pattern size spectra, the proposed pattern spectra are spatially sensitive and robust to noise distortions. A pattern size-density spectrum or 2D signature was introduced and used for solving image classification tasks. Its application to the classification of real world medical images is illustrated.