| bibtype |
J -
Journal Article
|
| ARLID |
0459179 |
| utime |
20240103212213.9 |
| mtime |
20160506235959.9 |
| SCOPUS |
84962097630 |
| WOS |
000376708000010 |
| DOI |
10.1016/j.patcog.2016.03.003 |
| title
(primary) (eng) |
A competition in unsupervised color image segmentation |
| specification |
| page_count |
16 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0257388 |
| ISSN |
0031-3203 |
| title
|
Pattern Recognition |
| volume_id |
57 |
| volume |
9 (2016) |
| page_num |
136-151 |
| publisher |
|
|
| keyword |
Unsupervised image segmentation |
| keyword |
Segmentation contest |
| keyword |
Texture analysis |
| author
(primary) |
| ARLID |
cav_un_auth*0101093 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101165 |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| full_dept |
Department of Pattern Recognition |
| name1 |
Mikeš |
| name2 |
Stanislav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0303439 |
| project_id |
GA14-10911S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
A competition in unsupervised color image segmentation took place in conjunction with the 22nd International Conference on Pattern Recognition (ICPR 2014). It aimed to promote evaluation of unsupervised color image segmentation algorithms using publicly available data sets, and to allow for any subsequent methods to be easily evaluated and compared with the results of the contested methods under identical conditions. Our comparison of different methods is based on the standard methodology of performance assessment using an on-line verification server. We present in this paper the evaluation of the top six results submitted to the ICPR 2014 contest in unsupervised color image segmentation and compare them with 11 other state-of-the-art unsupervised image segmenters. |
| RIV |
BD |
| reportyear |
2017 |
| num_of_auth |
2 |
| mrcbC52 |
4 A hod 4ah 20231122141653.7 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0259701 |
| mrcbC64 |
1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE |
| confidential |
S |
| mrcbC86 |
2 Article Computer Science Artificial Intelligence|Engineering Electrical Electronic |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
1.361 |
| mrcbT16-s |
1.501 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
85.445 |
| mrcbT16-D |
Q1 |
| mrcbT16-E |
Q1 |
| arlyear |
2016 |
| mrcbTft |
\nSoubory v repozitáři: haindl-0459179.pdf |
| mrcbU14 |
84962097630 SCOPUS |
| mrcbU34 |
000376708000010 WOS |
| mrcbU63 |
cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 57 č. 9 2016 136 151 Elsevier |
|