The paper shows an application of a new operator named the iterated object transform (IOT) for cell classification. The IOT 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.
Di Gesu, V., Lo Bosco, G., Zavidovique, B. (2003). Classification based on Iterative Object Symmetry Transform. In Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003 (pp. 44-49). IEEE computer society press [10.1109/ICIAP.2003.1234023].
Classification based on Iterative Object Symmetry Transform
DI GESU', Vito;LO BOSCO, Giosue';
2003-01-01
Abstract
The paper shows an application of a new operator named the iterated object transform (IOT) for cell classification. The IOT 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.
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Di Gesú, Lo Bosco, Zavidovique - 2003 - Classification based on iterative object symmetry transform.pdf
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