6533b7d4fe1ef96bd12620ac

RESEARCH PRODUCT

Classification based on Iterative Object Symmetry Transform

V. Di GestiB. ZavidoviqueG. Lo Bosco

subject

Contextual image classificationSettore INF/01 - Informaticabusiness.industryIterative methodFeature extractionGRASPCognitive neuroscience of visual object recognitionPattern recognitionIterated functionComputer visionArtificial intelligencebusinessClassifier (UML)Classification Medical imaging clusteringMathematicsDigital object

description

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.

yearjournalcountryeditionlanguage
2004-02-03
10.1109/iciap.2003.1234023http://hdl.handle.net/10447/103091