Classification Based on Iterative Object Symmetry Transform

I
ICIAP
2003
12th International Conference on Image Analysis and Processing (ICIAP'03)
Abstract - Classification Based on Iterative Object Symmetry Transform

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12th International Conference on Image Analysis and Processing (ICIAP'03)

Mantova, Italy

September 17-September 19

ISBN: 0-7695-1948-2

	ASCII Text	x
	V. Di Gesú, G. Lo Bosco, B. Zavidovique, "Classification Based on Iterative Object Symmetry Transform," Image Analysis and Processing, International Conference on, pp. 44, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003.

	BibTex	x
	@article{ 10.1109/ICIAP.2003.1234023, author = {V. Di Gesú and G. Lo Bosco and B. Zavidovique}, title = {Classification Based on Iterative Object Symmetry Transform}, journal ={Image Analysis and Processing, International Conference on}, volume = {0}, year = {2003}, isbn = {0-7695-1948-2}, pages = {44}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.2003.1234023}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Processing, International Conference on TI - Classification Based on Iterative Object Symmetry Transform SN - 0-7695-1948-2 SP EP A1 - V. Di Gesú, A1 - G. Lo Bosco, A1 - B. Zavidovique, PY - 2003 KW - null VL - 0 JA - Image Analysis and Processing, International Conference on ER -

V. Di Gesú, University of Palermo and University of Orsay

G. Lo Bosco, University of Palermo

B. Zavidovique, University of Orsay

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2003.1234023

This paper shows an application of a new operator named the Iterated Object Transform (IQT) for cells classification The IQT has the ability to grasp the internal structure of a digital object and this feature can be usefully applied to discriminate structured images. This is the case of cells representing chondrocytes in bone tissue, giarda protozoan, and Myeloid Leukaemia. A tree classifier allows us to discriminate the three classes with a good accuracy.

Citation:

V. Di Gesú, G. Lo Bosco, B. Zavidovique, "Classification Based on Iterative Object Symmetry Transform," iciap, pp.44, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003

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