Title :
Automatic segmentation and recognition of pathomorphological microscopic images
Author :
Bieniecki, Wojciech ; Grabowski, Szymon ; Sekulska, Joanna ; Turant, Maria ; Kaluzynski, Andrzej
Abstract :
This paper is concerned with quantitative analysis of color biomedical images. We take into account microscopic cytological and histological images. The aim of the examination is to extract two types of object from a set of images and evaluate their count and area. An essential step in the recognition procedure is image segmentation, due to the poor quality of the source images. We test some segmentation techniques including the combination of color discrimination and region based methods.
Keywords :
biomedical optical imaging; gradient methods; image classification; image colour analysis; image segmentation; mathematical morphology; medical image processing; optical microscopy; tumours; automatic recognition; automatic segmentation; biomedical image segmentation; cancer tissue nuclei; color biomedical images; color discrimination methods; image classification; image preprocessing; immunohistochemical coloring; k nearest neighbors; oestrogen receptors; pathomorphological microscopic images; progesterone receptors; quantitative analysis; region based methods; topographic surface; watershed algorithm; Biomedical imaging; Cameras; Image analysis; Image color analysis; Image recognition; Image segmentation; Layout; Optical filters; Optical microscopy; Optical noise;
Conference_Titel :
CAD Systems in Microelectronics, 2003. CADSM 2003. Proceedings of the 7th International Conference. The Experience of Designing and Application of
Print_ISBN :
966-553-278-2
DOI :
10.1109/CADSM.2003.1255122
