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Title: AUTOMATIC FLUOROGRAPHY SEGMENTATION METHOD BASED ON HISTOGRAM OF BRIGHTNESS SUBMISSION IN SLIDING WINDOW
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AUTOMATIC FLUOROGRAPHY SEGMENTATION METHOD BASED ON HISTOGRAM OF BRIGHTNESS SUBMISSION IN SLIDING WINDOW
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1314-2704
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English
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21
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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.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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159-166
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29 June - 5 July, 2017
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website
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cdrom
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2949
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image segmentation; histogram of brightness; parameter vector
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