| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0461983 |
| utime |
20240103212525.5 |
| mtime |
20160826235959.9 |
| SCOPUS |
84978902233 |
| WOS |
000386604000021 |
| DOI |
10.1007/978-3-319-41501-7_21 |
| title
(primary) (eng) |
Cell Segmentation Using Level Set Methods with a New Variance Term |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0462001 |
| ISBN |
978-3-319-41500-0 |
| ISSN |
0302-9743 |
| title
|
Image Analysis and Recognition : 13th International Conference, ICIAR 2016 |
| page_num |
183-190 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2016 |
|
|
| keyword |
segmentation |
| keyword |
level set method |
| keyword |
active contours |
| keyword |
phase contrast microscopy |
| author
(primary) |
| ARLID |
cav_un_auth*0332672 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Bílková |
| name2 |
Zuzana |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0293859 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Soukup |
| name2 |
Jindřich |
| institution |
UTIA-B |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0021094 |
| name1 |
Kučera |
| name2 |
V. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292734 |
| project_id |
GA13-29225S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0309798 |
| project_id |
914813/2013 |
| agency |
GA UK |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0332704 |
| project_id |
2016-260332 |
| agency |
SVV |
| country |
CZ |
|
| abstract
(eng) |
We present a new method for segmentation of phase-contrast microscopic images of cells. The algorithm is based on the variational for-mulation of the level set method, i.e. minimizing of a functional, which describes the level set function. The functional is minimized by a gradi-ent ow described by an evolutionary partial dierential equation. The most signicant new ideas are initialization using thresholding and the introduction of a new term based on local variance that speeds up con-vergence and achieves more accurate results. The proposed algorithm is applied on real data and compared with another algorithm. |
| action |
| ARLID |
cav_un_auth*0332703 |
| name |
International Conference Image Analysis and Recognition 2016 |
| dates |
20160713 |
| mrcbC20-s |
20160715 |
| place |
Póvoa de Varzim |
| country |
PT |
|
| RIV |
JD |
| reportyear |
2017 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0261538 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods|Imaging Science Photographic Technology |
| mrcbT16-s |
0.325 |
| mrcbT16-4 |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2016 |
| mrcbU14 |
84978902233 SCOPUS |
| mrcbU34 |
000386604000021 WOS |
| mrcbU63 |
cav_un_epca*0462001 Image Analysis and Recognition : 13th International Conference, ICIAR 2016 978-3-319-41500-0 0302-9743 183 190 Cham Springer 2016 Lecture Notes in Computer Science 9730 |
|