Classification Based on Iterative Object Symmetry Transform

Authors:
V. Di Gesú;G. Lo Bosco;B. Zavidovique
Affiliations:
-;-;-
Venue:
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Year:
2003

Citing 0
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Abstract

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.