Published in:
Open Access
01-09-2013 | Proceedings
Pap smear cell image classification using global MPEG-7 descriptors
Authors:
Luz H Camargo, Gloria Diaz, Eduardo Romero
Published in:
Diagnostic Pathology
|
Special Issue 1/2013
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Excerpt
Several strategies have been previously applied for classifying cervical cytology cells, all pursuing a nucleus segmentation. Sanchez sets regions [
1] using a simple threshold [
2], a procedure broadly adapted to different techniques: a local adaptive segmentation nuclei procedure [
3], seed growing [
4], mathematical morphology [
5], a Hough transform [
6], and active contours [
7]. Jantzen and Dounias propose several cell features as morphometric descriptors, including the nucleus and cytoplasm areas, nucleus / cytoplasm proportion, nucleus and cytoplasm brightnesses, smaller and larger nucleus/cytoplasm diameters, nucleus and cytoplasm roundness, nucleus and cytoplasm perimeters, nucleus position, nucleus/cytoplasm maxima and minima. Nevertheless, these morphometric characteristics require a previous accurate segmentation, hardly achieved by human intervention using commercial software such as CHAMP (Cytology and Histology Modular Analysis Package, Aarhus, Denmark) or DIMAC (Digital Image Company) [
8,
9]. …