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.
|Titolo della pubblicazione ospite||Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003|
|Numero di pagine||6|
|Stato di pubblicazione||Published - 2003|
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
Di Gesu', V., Lo Bosco, G., Di Gesti, & Zavidovique, B. (2003). Classification based on Iterative Object Symmetry Transform. In Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003 (pagg. 44-49)