Region of interest contrast measures

Václav Remeš; Michal Haindl

Kybernetika (2018)

  • Volume: 54, Issue: 5, page 978-990
  • ISSN: 0023-5954

Abstract

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A survey of local image contrast measures is presented and a new contrast measure for measuring the local contrast of regions of interest is proposed. The measures validation is based on the gradual objective contrast decreasing on medical test images in both grayscale and color. The performance of the eleven most frequented contrast measures is mutually compared and their robustness to different types of image degradation is analyzed. Since the contrast measures can be both global, regional and local pixelwise, a simple way of adapting the contrast measures for regions of interest is proposed.

How to cite

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Remeš, Václav, and Haindl, Michal. "Region of interest contrast measures." Kybernetika 54.5 (2018): 978-990. <http://eudml.org/doc/294257>.

@article{Remeš2018,
abstract = {A survey of local image contrast measures is presented and a new contrast measure for measuring the local contrast of regions of interest is proposed. The measures validation is based on the gradual objective contrast decreasing on medical test images in both grayscale and color. The performance of the eleven most frequented contrast measures is mutually compared and their robustness to different types of image degradation is analyzed. Since the contrast measures can be both global, regional and local pixelwise, a simple way of adapting the contrast measures for regions of interest is proposed.},
author = {Remeš, Václav, Haindl, Michal},
journal = {Kybernetika},
keywords = {contrast measures; image enhancement; enhancement quality measures; medical image enhancement},
language = {eng},
number = {5},
pages = {978-990},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Region of interest contrast measures},
url = {http://eudml.org/doc/294257},
volume = {54},
year = {2018},
}

TY - JOUR
AU - Remeš, Václav
AU - Haindl, Michal
TI - Region of interest contrast measures
JO - Kybernetika
PY - 2018
PB - Institute of Information Theory and Automation AS CR
VL - 54
IS - 5
SP - 978
EP - 990
AB - A survey of local image contrast measures is presented and a new contrast measure for measuring the local contrast of regions of interest is proposed. The measures validation is based on the gradual objective contrast decreasing on medical test images in both grayscale and color. The performance of the eleven most frequented contrast measures is mutually compared and their robustness to different types of image degradation is analyzed. Since the contrast measures can be both global, regional and local pixelwise, a simple way of adapting the contrast measures for regions of interest is proposed.
LA - eng
KW - contrast measures; image enhancement; enhancement quality measures; medical image enhancement
UR - http://eudml.org/doc/294257
ER -

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