Performance evaluation of image segmentation algorithms on microscopic image data

0434809 - ÚTIA 2017 RIV GB eng J - Journal Article
Beneš, Miroslav - Zitová, Barbara
Performance evaluation of image segmentation algorithms on microscopic image data.
Journal of Microscopy. Roč. 275, č. 1 (2015), s. 65-85. ISSN 0022-2720. E-ISSN 1365-2818
R&D Projects: GA ČR GAP103/12/2211
Institutional support: RVO:67985556
Keywords : image segmentation * performance evaluation * microscopic images
Subject RIV: JC - Computer Hardware ; Software
Impact factor: 2.136, year: 2015
http://library.utia.cas.cz/separaty/2014/ZOI/zitova-0434809-DOI.pdf

In our paper, we present a performance evaluation of image segmentation algorithms on microscopic image data. In spite of the existence of many algorithms for image data partitioning, there is no universal and "the best" method yet. Moreover, images of microscopic samples can be of various character and quality which can negatively influence the performance of image segmentation algorithms. Thus the issue of selecting suitable method for a given set of image data is of big interest. We carried out a large number of experiments with a variety of segmentation methods to evaluate the behavior of individual approaches on the testing set of microscopic images (cross-section images taken in three different modalities from the field of art restoration). The segmentation results were assessed by several indices used for measuring the output quality of image segmentation algorithms.
Permanent Link: http://hdl.handle.net/11104/0239122