Title :
Classification based on iterative object symmetry transform
Author :
Di Gesti, V. ; Bosco, G. Lo ; Zavidovique, B.
Author_Institution :
DMA, Palermo Univ., Italy
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.
Keywords :
biological tissues; feature extraction; image classification; iterative methods; medical image processing; object recognition; transforms; trees (mathematics); bone tissue; cell classification; chondrocytes; digital object; giarda protozoan; internal structure; iterative object symmetry transform; myeloid leukaemia; structured images; tree classifier; Bone tissue; Character generation; Classification tree analysis; Data mining; Distributed computing; Image edge detection; Object detection; Shape; Stress; Topology;
Conference_Titel :
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN :
0-7695-1948-2
DOI :
10.1109/ICIAP.2003.1234023
