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A novel 3D histogram equalization algorithm for stacks of confocal microscope images

A novel 3D histogram equalization algorithm for ...

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dc.contributor.author Romanowska-Pawliczek, Anna pl
dc.contributor.author Głowacki, Mirosław pl
dc.contributor.author Pawliczek, Piotr pl
dc.contributor.author Sołtys, Zbigniew [SAP11012054] pl
dc.contributor.editor Callaos, Nagib pl
dc.contributor.editor Carrasquero, José Vincente pl
dc.contributor.editor Chu, Hsing-Wei pl
dc.contributor.editor Ferrer, José pl
dc.contributor.editor Savoie, Michael J. pl
dc.contributor.editor Tremante, Andrés pl
dc.date.accessioned 2016-09-22T12:37:28Z
dc.date.available 2016-09-22T12:37:28Z
dc.date.issued 2011 pl
dc.identifier.uri http://ruj.uj.edu.pl/xmlui/handle/item/30599
dc.language eng pl
dc.title A novel 3D histogram equalization algorithm for stacks of confocal microscope images pl
dc.type BookSection pl
dc.pubinfo [S. l.] : International Institute of Informatics and Systemics pl
dc.description.physical 66-71 pl
dc.description.additional Bibliogr. s. 71 pl
dc.identifier.weblink http://www.iiis.org/p-proceedings/july2011/IMETI-II/IMETI-Book-Vol-II-Postconference.pdf#page=122 pl
dc.abstract.other In this paper we present a method to solve a problem of brightness changes within a stack of images obtained by confocal microscope. A result of specimen scanning is a series of 2D images. Consecutive images show deeper sections of stained tissue. Within a stack of images a light attenuation increases with the depth of imaged focal planes. This well known physical phenomenon is a major obstacle that stands in the way of any CLSM image based analysis. Because light attenuation can be compensated by histogram modeling techniques, a straightforward solution is reached by histogram equalization of all images in a stack. The aim is to remodel shapes of histograms in such a way that the intensity histograms of the resulting images become uniform within all possible brightness values. Numerous histogram equalization methods have been developed in the last decade. In this paper we propose a novel 3D histogram equalization algorithm. It is tuned to balance contrast and brightness of images within one stack. In this approach we assume a linear correlation of brightness among adjacent stack slices. Unlike other known algorithms our approach concentrate more on preservation of information than improvement of visual aspects. The presented algorithm was tested on real data as a module embedded in the system for automatic 3D reconstruction of brain glial cells. Because this novel method is a powerful and effective tool for contrast enhancement and achieving evenly balanced luminescence of confocal stack images it substantially contributes to the quality of fully dimensional cell reconstruction. pl
dc.subject.en computer vision pl
dc.subject.en pattern recognition pl
dc.subject.en image processing pl
dc.subject.en 3D reconstruction pl
dc.subject.en confocal microscopy pl
dc.description.volume 2 pl
dc.description.publication 0,8 pl
dc.description.conftype international pl
dc.identifier.eisbn 978-1-936338-46-7 (Volume II Post Conference) pl
dc.identifier.eisbn 978-1-936338-35-1 (Collection) pl
dc.title.container The 4th International Multi-Conference on Engineering and Technological Innovation : July 19th - July 22nd, 2011 – Orlando, Florida, USA : proceedings (post-conference edition) pl
dc.language.container eng pl
dc.date.accession 2016-06-24 pl
dc.affiliation Wydział Biologii i Nauk o Ziemi : Instytut Zoologii pl
dc.subtype ConferenceProceedings pl
dc.conference IMETI 2011 : the 4th International Multi-Conference on Engineering and Technological Innovation; 2011-07-19; 2011-07-22; Orlando; Stany Zjednoczone; ; indeksowana w Scopus; ; pl
dc.rights.original OTHER; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0; pl


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