Segmentation-free estimation of length distributions using sieves and RIA morphology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2106, Issue , 2001, Pages 398-406

  Hendriks, Cris L Luengo ^a   van Vliet, Lucas J ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; COMPUTER VISION; GRAIN (AGRICULTURAL PRODUCT); MATHEMATICAL MORPHOLOGY; MORPHOLOGY; SIEVES;

IMAGE SPACE; INTERNAL DIAMETERS; LENGTH DISTRIBUTIONS; MORPHOLOGICAL OPERATIONS; MORPHOLOGICAL SIEVES; RICE KERNELS; ROTATION INVARIANT; STRUCTURING ELEMENT;

IMAGE SEGMENTATION;

EID: 84937420779     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. G. Matheron, Random Sets and Integral Geometry. New York: Wiley, 1975.
2. L. Alvarez and J.-M. Morel, Morphological Approach to Multiscale Analysis: From Principles to Equations, in Geometry-Driven Diffusion in computer Vision, M. A. Vier-gever (ed). Dordrecht: KluwerAcademic Publishers, 1994.
3. K.-R. Park and C.-N. Lee, Scale-Space Using Mathematical Morphology, IEEE Transac­tions on Pattern Analysis and Machine Intelligence, vol. 18, pp. 1121-1126, 1996.
4. P. Soille, Morphological Image Analysis. Berlin: Springer-Verlag, 1999.
5. L. J. van Vliet, Grey-Scale Measurements in Multi-Dimensional Digitized Images. Ph.D. Thesis, DelftUniversity of Technology, Delft, 1993.
6. L. R. Feret, La grosseur des grains, Assoc. Intern. Essais Math. 2D, Zurich, 1931.