Structure Characterization Using Mathematical Morphology

Structure Characterization Using Mathematical Morphology

Luengo Hendriks, C.L.

Van Vliet, L.J. (promotor)

Applied Sciences

2004-01-20

This thesis deals with the application of mathematical morphology to images of some kind of structure, with the intention of characterizing (or describing) that structure. The emphasis is placed on measuring properties of the real-world scene, rather than measuring properties of the digital image. That is, we require that the measurement tools are sampling-invariant, or at least produce a sampling-related error that is as small as possible. Filters defined by mathematical morphology can be defined both in the continuous space and the sampled space, but will produce different results in both spaces. We term these differences "discretization errors". Many of the results presented in this thesis decrease the discretization errors of morphological filters.

granulometry
size distribution
structuring element
sampling invariance
translation invariance
rotation invariance
image analysis
image processing

http://resolver.tudelft.nl/uuid:de60c1ea-b6de-4600-aa8a-885dedb145cb

Pattern Recognition Group

90-75691-10-6

Institutional Repository

doctoral thesis

(c) 2004 C.L. Luengo Hendriks