| bibtype |
J -
Journal Article
|
| ARLID |
0497453 |
| utime |
20240903170640.6 |
| mtime |
20181203235959.9 |
| SCOPUS |
85064214075 |
| WOS |
000455560300007 |
| DOI |
10.14736/kyb-2018-5-0978 |
| title
(primary) (eng) |
Region of Interest Contrast Measures |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0297163 |
| ISSN |
0023-5954 |
| title
|
Kybernetika |
| volume_id |
54 |
| volume |
5 (2018) |
| page_num |
978-990 |
| publisher |
| name |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
|
| keyword |
contrast measures |
| keyword |
image enhancement |
| keyword |
enhancement quality measures |
| keyword |
medical image enhancement |
| author
(primary) |
| ARLID |
cav_un_auth*0286710 |
| name1 |
Remeš |
| name2 |
Václav |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
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. |
| result_subspec |
WOS |
| RIV |
BD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20202 |
| reportyear |
2019 |
| num_of_auth |
2 |
| mrcbC52 |
4 A hod 4ah 20231122143626.3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0290645 |
| mrcbC64 |
1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE |
| confidential |
S |
| article_num |
4749 |
| mrcbC86 |
3+4 Article Computer Science Cybernetics |
| mrcbT16-e |
COMPUTERSCIENCECYBERNETICS |
| mrcbT16-j |
0.174 |
| mrcbT16-s |
0.268 |
| mrcbT16-B |
15.991 |
| mrcbT16-D |
Q4 |
| mrcbT16-E |
Q3 |
| arlyear |
2018 |
| mrcbTft |
\nSoubory v repozitáři: remes-0497453.pdf |
| mrcbU14 |
85064214075 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000455560300007 WOS |
| mrcbU63 |
cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 54 č. 5 2018 978 990 Ústav teorie informace a automatizace AV ČR, v. v. i. |
|