Performance evaluation of image segmentation algorithms on microscopic image data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00434809" target="_blank" >RIV/67985556:_____/15:00434809 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1111/jmi.12186" target="_blank" >http://dx.doi.org/10.1111/jmi.12186</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jmi.12186" target="_blank" >10.1111/jmi.12186</a>

Result language

angličtina

Original language name

Performance evaluation of image segmentation algorithms on microscopic image data

Original language description

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.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

<a href="/en/project/GAP103%2F12%2F2211" target="_blank" >GAP103/12/2211: Methods for multimodal image processing based on mathematical models of optical properties of paint materials for artwork analysis</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Microscopy

ISSN

0022-2720

e-ISSN

—

Volume of the periodical

275

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

21

Pages from-to

65-85

UT code for WoS article

000345972000007

EID of the result in the Scopus database

2-s2.0-84912550395