DBPapers
DOI: 10.5593/sgem2017/21/S07.021

AUTOMATIC FLUOROGRAPHY SEGMENTATION METHOD BASED ON HISTOGRAM OF BRIGHTNESS SUBMISSION IN SLIDING WINDOW

R.A. Tomakova, S.A. Filist, A.I. Pykhtin
Wednesday 13 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-01-0 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 21, 159-166 pp, DOI: 10.5593/sgem2017/21/S07.021

ABSTRACT

Improving diagnostic efficiency of pulmonary diseases is now a very urgent task. For the construction of automated systems of recognition and classification of radiographic images is necessary to perform the process of localization of pathological formations on chest fluorography. The correct choice of the method of segmentation for studying radiographic image segments provides quality and improves the accuracy of diagnostic decisions taken. The article shows a block diagram of a device that implements a method for automatically segmenting chest fluorography. To construct algorithms detect pathological structures applied building of histogram of image brightness in a dedicated window. Determined graphics primitives that approximate brightness histogram of fluorography in optimum size analysis window. Based on the information generated parameter vector. Decision about belonging supplies parameter vector allocated to one of the classes is carried out by a trained multialternative classifier (two alternatives). As the window move on the image, it makes the final formation of a binary image.

Keywords: image segmentation, histogram of brightness, parameter vector

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