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National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Image Segmentation Using Height Maps
 Moučka, Milan ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This thesis deals with image segmentation of volumetric medical data. It describes a well-known watershed technique that has received much attention in the field of medical image processing. An application for a direct segmentation of 3D data is proposed and further implemented by using ITK and VTK toolkits. Several kinds of pre-processing steps used before the watershed method are presented and evaluated. The obtained results are further compared against manually annotated datasets by means of the F-Measure and discussed.
Detailed record
Visiting Cards Generator
 Moučka, Milan ; Chalupníček, Kamil (referee) ; Chudý, Peter (advisor)
Business cards are a popular data medium for providing information nowadays. This bachelor work deals with an application of business cards' generating according to general stated rules. Its result is an application which generates business cards for the PDF document. These are ready to be printed and cut in partial ones.
Detailed record
Visiting Cards Generator
 Moučka, Milan ; Chalupníček, Kamil (referee) ; Chudý, Peter (advisor)
Business cards are a popular data medium for providing information nowadays. This bachelor work deals with an application of business cards' generating according to general stated rules. Its result is an application which generates business cards for the PDF document. These are ready to be printed and cut in partial ones.
Detailed record
Image Segmentation Using Height Maps
 Moučka, Milan ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This thesis deals with image segmentation of volumetric medical data. It describes a well-known watershed technique that has received much attention in the field of medical image processing. An application for a direct segmentation of 3D data is proposed and further implemented by using ITK and VTK toolkits. Several kinds of pre-processing steps used before the watershed method are presented and evaluated. The obtained results are further compared against manually annotated datasets by means of the F-Measure and discussed.
Detailed record

See also: similar author names
4 Moučka, Martin
5 Moučka, Michal
4 Moučka, Miroslav
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