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Title:STROJNO-PROGRAMSKI KOMPLEKS ZA AVTOMATSKO FOKUSIRANJE KAMER
Authors:ID Žižek, Primož (Author)
ID Potočnik, Božidar (Mentor) More about this mentor... New window
Files:.pdf VS_Zizek_Primoz_2013.pdf (2,62 MB)
MD5: 4F847FAF4F2DF69CB4C58E8F06084A2D
PID: 20.500.12556/dkum/1dbf2794-92d9-4be3-9f08-a28372c1f512
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu najprej opišemo osnovne principe delovanja kamer in podrobneje opišemo sistem leč. V poglavju o metodah za avtomatsko fokusiranje pregledamo načine avtomatskega fokusiranja, pri čemer se podrobneje osredotočimo na metode za izračun kontrasta. Opisano teoretično znanje uporabimo pri izdelavi strojno-programskega kompleksa za avtomatsko fokusiranje kamer, ki predstavlja jedro našega diplomskega dela. Natančno predstavimo zgradbo in funkcionalnost strojnega dela naše rešitve, medtem ko pri programskem delu naše rešitve opišemo ne le njegovo funkcionalnost in implementacijske detajle, ampak tudi razloge za razvoj takšnih metod. Skupno smo razvili in implementirali pet različnih metod za avtomatsko fokusiranje kamer, pri čemer tri metode temeljijo izključno na informaciji o kontrastu v opazovanem območju slike, preostali dve metodi pa informacijo o kontrastu kombinirata z na novo vpeljano metriko za ocenjevanje ostrine v sliki. Vse implementirane metode smo tudi preizkusili, tako kvalitativno kot kvantitativno. Pripravili smo deset različnih scen, na katerih smo izvajali teste. Za posamezni eksperiment smo izračunali napako pri fokusiranju. Rezultate smo zbrali in izračunali povprečno napako in standardni odklon za izbrano metodo fokusiranja kamer. Rezultati so pokazali, da je najboljša metoda fokusiranja tista, ki temelji na kontrastu, izračunanem po metodi RMS (angl. root mean square).
Keywords:fokusiranje, ostrina, kamera, avtomatsko ostrenje, razmerje signal/šum, kontrast, Michelsonov kontrast
Place of publishing:Maribor
Publisher:[P. Žižek]
Year of publishing:2013
PID:20.500.12556/DKUM-39385 New window
UDC:621.397.42:004.9(043.2)
COBISS.SI-ID:16653334 New window
NUK URN:URN:SI:UM:DK:406G2JVK
Publication date in DKUM:15.01.2013
Views:1835
Downloads:226
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:HARDWARE-SOFTWARE COMPLEX FOR AUTOMATIC CAMERA FOCUSING
Abstract:First, the basic principles of camera operation and lens system are described in detail. In the chapter on methods for automatic focusing the different ways of automatic focusing are reviewed, with further stress on the methods for calculating the contrast. We use the theoretical knowledge to create an application for automatic focusing, which is the core of the diploma thesis. We present the structure and the functionality of the hardware part of the solution, and on the software part we present not only its functionality and implementation details, but also the reasons for developing such methods. We have developed and implemented five different methods for automatic focusing, with three methods based solely on information about the contrast in the observed image area, and the remaining two methods combine the information on contrast with newly introduced metrics to evaluate the sharpness of the picture. All the implemented methods have been tested both in qualitative and quantitative terms. We prepared ten different scenes, in which we performed tests and calculated the error at focusing. We reviewed the results and calculated the average error and standard deviation for each method for focusing. The results have shown, that the best method is the one based on the contrast that was calculated using the RMS (root mean square) method.
Keywords:focusing, sharpness, camera, automatic focusing, signal to noise ratio, contrast, Michelson contrast


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