| bibtype |
J -
Journal Article
|
| ARLID |
0434809 |
| utime |
20240111140853.8 |
| mtime |
20141120235959.9 |
| SCOPUS |
84912550395 |
| WOS |
000345972000007 |
| DOI |
10.1111/jmi.12186 |
| title
(primary) (eng) |
Performance evaluation of image segmentation algorithms on microscopic image data |
| specification |
| page_count |
21 |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0257031 |
| ISSN |
0022-2720 |
| title
|
Journal of Microscopy |
| volume_id |
275 |
| volume |
1 (2015) |
| page_num |
65-85 |
| publisher |
|
|
| keyword |
image segmentation |
| keyword |
performance evaluation |
| keyword |
microscopic images |
| author
(primary) |
| ARLID |
cav_un_auth*0213982 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| name1 |
Beneš |
| name2 |
Miroslav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Zitová |
| name2 |
Barbara |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0285028 |
| project_id |
GAP103/12/2211 |
| agency |
GA ČR |
|
| abstract
(eng) |
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. |
| RIV |
JC |
| reportyear |
2017 |
| num_of_auth |
2 |
| mrcbC52 |
4 A hod 4ah 20231122140604.4 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0239122 |
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS |
| confidential |
S |
| mrcbT16-e |
MICROSCOPY |
| mrcbT16-j |
0.758 |
| mrcbT16-s |
0.962 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
58.742 |
| mrcbT16-C |
75.000 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2015 |
| mrcbTft |
\nSoubory v repozitáři: benes-0434809.pdf |
| mrcbU14 |
84912550395 SCOPUS |
| mrcbU34 |
000345972000007 WOS |
| mrcbU56 |
16MB |
| mrcbU63 |
cav_un_epca*0257031 Journal of Microscopy 0022-2720 1365-2818 Roč. 275 č. 1 2015 65 85 Wiley |
|