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

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

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

Bibliographic description

title:	A novel 3D histogram equalization algorithm for stacks of confocal microscope images
author:	Romanowska-Pawliczek Anna, Głowacki Mirosław, Pawliczek Piotr, Sołtys Zbigniew
editor:	Callaos Nagib, Carrasquero José Vincente, Chu Hsing-Wei, Ferrer José, Savoie Michael J., Tremante Andrés
book title:	The 4th International Multi-Conference on Engineering and Technological Innovation : July 19th - July 22nd, 2011 – Orlando, Florida, USA : proceedings (post-conference edition)
volume:	2
date of publication :	2011
place of publication : name of publisher:	[S. l.] : International Institute of Informatics and Systemics
pages:	66-71
eISBN:	978-1-936338-46-7 (Volume II Post Conference) 978-1-936338-35-1 (Collection)
URL:	http://www.iiis.org/p-proceedings/july2011/IMETI-II/IMETI-Book-Vol-II-Postconference.pdf#page=122
date accessed:	2016-06-24
notes:	Bibliogr. s. 71
language:	English
book language:	English
abstract in other languages:	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.
keywords in English:	computer vision, pattern recognition, image processing, 3D reconstruction, confocal microscopy
number of pulisher's sheets:	0,8
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; ;
affiliation:	Wydział Biologii i Nauk o Ziemi : Instytut Zoologii
type:	chapter
subtype:	conference proceedings