| bibtype |
L4 -
Prototype, methodology, f. module, software
|
| ARLID |
0348217 |
| utime |
20240103193957.7 |
| mtime |
20101101235959.9 |
| title
(primary) (eng) |
Yeast Colony Counter |
| publisher |
|
| keyword |
Automated colony counting |
| keyword |
Image processing |
| keyword |
Fast radial transform |
| keyword |
Matlab |
| keyword |
Petri dish evaluation |
| author
(primary) |
| ARLID |
cav_un_auth*0101190 |
| name1 |
Schier |
| name2 |
Jan |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| institution |
UTIA-B |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101136 |
| name1 |
Kovář |
| name2 |
Bohumil |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| cas_special |
| project |
| project_id |
1M0567 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0202350 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The colony counter provides batch processing of a series of images of Petri dishes containing yeast colonies. It is aimed for a research laboratory using standard imaging equipment, where manual manipulation of the dishes is used, rather than specialized single-purpose camera system. It is assumed that dark background is used in the images. The tool evaluates two figures for the images: the relative coverage of the dish, and the number of colonies in the dish. It provides two modes of operation: automatic or semi-automatic. In the automatic mode, it processes the batch of images without any user intervention. In the semi-automatic mode, it first processes a dish and then it provides the user with an editor, where he can interactively correct the result of counting. The tool performs fully automatic thresholding of the image, dish localization and image segmentation. Two image formats are accepted at this moment: .jpg and .tiff. Other formats may be added on request. |
| reportyear |
2011 |
| RIV |
JC |
| permalink |
http://hdl.handle.net/11104/0188803 |
| arlyear |
2010 |
| mrcbU10 |
2010 |
|