Classification based on Iterative Object Symmetry Transform

Vito Di Gesu', Giosue' Lo Bosco, Vito Di Gesù, Di Gesti, Zavidovique, Bertrand Zavidovique

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003
Pages44-49
Number of pages6
Publication statusPublished - 2003

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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