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Surname	Name	Title	Thesis status		Supervisors	Reviewers	Type of thesis	Date of def.	Title
Student	Type of thesis	-	-	-	-	-	-	-	-	-	-
Hala	Roman	Robust Detection Of Laser Blobs Robust Detection Of Laser Blobs			Král Erik	Vařacha Pavel	Bachelor's thesis	22.06.2011	Robust Detection Of Laser Blobs
Roman Hala	Bachelor's thesis	0XX	0XX	0XX	0XX	0XX	0XX	0XX	0XX	0XX	0XX

Thesis info Robustní detekce laserových stop

Basic data

Annotation
The document you are accessing is protected by copyright law. Unauthorised use may lead to criminal sanctions.
Name	Hala Roman
Acad. Yr.	2010/2011
Assigning department	AUART
Date of defence	Jun 22, 2011
Type of thesis	Bachelor's thesis
Thesis status	Thesis finished and defended successfully (DUO).
Completeness of mandatory entries	- The following mandatory fields are not filled in for this Thesis.: Title in English
Main topic	Robustní detekce laserových stop
Main topic in English	Robust Detection Of Laser Blobs
Title according to student	Robustní detekce laserových stop
English title as given by the student	-
Parallel name	-
Subtitle	-
Thesis supervisor	Král Erik, Ing. Ph.D.
External examiner	Vařacha Pavel, Ing. Bc. Ph.D.
Annotation	Tato bakalářská práce se zabývá detekcí laserových stop. Návrh řešení vychází z metod knihovny OpenCV, které jsou schopny pracovat s obrázky a videem. Cílem je navrhnout program, jenž detekuje laserový paprsek tvaru kříže v reálném čase. Program je optimalizován pro práci s kamerou CMUcam3, která podporuje programy napsané v jazyce C.
Annotation in English	This thesis deals with the detection of laser blobs. The proposed solution is based on OpenCV library methods that are able to work pictures pictures and video. The goal is to propose a program that is able to detect the cross-shaped laser beam in real time. The program is optimized to work with the camera CMUcam3 that supports programs written in C.
Keywords	Detekce přímek, OpenCV, počítačové vidění, detekce laserových stop, C++, C
Keywords in English	Line detection, OpenCV, computer vision, laser blob detection, C++, C
Length of the covering note	62s. (41 435 znaků)
Language	CZ
Tato bakalářská práce se zabývá detekcí laserových stop. Návrh řešení vychází z metod knihovny OpenCV, které jsou schopny pracovat s obrázky a videem. Cílem je navrhnout program, jenž detekuje laserový paprsek tvaru kříže v reálném čase. Program je optimalizován pro práci s kamerou CMUcam3, která podporuje programy napsané v jazyce C.
Annotation in English
This thesis deals with the detection of laser blobs. The proposed solution is based on OpenCV library methods that are able to work pictures pictures and video. The goal is to propose a program that is able to detect the cross-shaped laser beam in real time. The program is optimized to work with the camera CMUcam3 that supports programs written in C.
Keywords
Detekce přímek, OpenCV, počítačové vidění, detekce laserových stop, C++, C
Keywords in English
Line detection, OpenCV, computer vision, laser blob detection, C++, C
Research Plan	Popište problematiku detekce laserových stop. Popište vhodné algoritmy. Analyzujte možnosti implementace. Navrhněte vlastní implementaci. Demonstrujte ukázkovou aplikaci.
Research Plan
Popište problematiku detekce laserových stop. Popište vhodné algoritmy. Analyzujte možnosti implementace. Navrhněte vlastní implementaci. Demonstrujte ukázkovou aplikaci.
Recommended resources	PRATA, Stephen. Mistrovství v C++. Computer Press, 2004. 1006 s.ISBN 80-251-0098-7. SONKA, Milan; HLAVAC, Vaclav; BOYLE, Roger. Image Processing, Analysis, and Machine Vision. PWS Publishing at Brooks/Cole Publishing Company, 1998. 770 s. ISBN 0-534-95393-X. SNYDER, Wesley, E.;QI, Hairong. Machine Vision. Cambridge University Press, 2004. 433 s. ISBN 0 521 83046 X. DAVIES, E., R. Machine Vision. Morgan Kaufmann Publishers, 2005. 934 s. ISBN-13: 978-0-12-206093-9, ISBN-10: 0-12-206093-8. Open Source Computer Vision Library Reference Manual, Intel Corporation, 1999-2001. 417 s.Order Number: 123456-001. Dostupné z WWW: [http://hawaiilibrary.net/eBooks/Give-Away/Technical_eBooks/OpenCVReferenceManual.pdf]. BRADSKI, Gary; KAEHLER, Adrian. Learning OpenCV. O?Reilly Media, 2008. 555 s. ISBN: 978-0-596-51613-0.
Recommended resources
PRATA, Stephen. Mistrovství v C++. Computer Press, 2004. 1006 s.ISBN 80-251-0098-7. SONKA, Milan; HLAVAC, Vaclav; BOYLE, Roger. Image Processing, Analysis, and Machine Vision. PWS Publishing at Brooks/Cole Publishing Company, 1998. 770 s. ISBN 0-534-95393-X. SNYDER, Wesley, E.;QI, Hairong. Machine Vision. Cambridge University Press, 2004. 433 s. ISBN 0 521 83046 X. DAVIES, E., R. Machine Vision. Morgan Kaufmann Publishers, 2005. 934 s. ISBN-13: 978-0-12-206093-9, ISBN-10: 0-12-206093-8. Open Source Computer Vision Library Reference Manual, Intel Corporation, 1999-2001. 417 s.Order Number: 123456-001. Dostupné z WWW: [http://hawaiilibrary.net/eBooks/Give-Away/Technical_eBooks/OpenCVReferenceManual.pdf]. BRADSKI, Gary; KAEHLER, Adrian. Learning OpenCV. O?Reilly Media, 2008. 555 s. ISBN: 978-0-596-51613-0.
Týká se praxe	No
Enclosed appendices	CD ROM
Appendices bound in thesis	graphs, schemes, portraits, tables
Taken from the library	No
Full text of the thesis
Appendices
Reviewer's report
Supervisor's report
Defence procedure record file