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.
Lingua originale | English |
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Titolo della pubblicazione ospite | Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003 |
Pagine | 44-49 |
Numero di pagine | 6 |
Stato di pubblicazione | Published - 2003 |
All Science Journal Classification (ASJC) codes
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