ANALIZA VPLIVA BARVNEGA SPEKTRA NA UČINKOVITOST PREPOZNAVANJA OBJEKTOV V DIGITALNIH SLIKAH

Žižek, Uroš

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Title:	ANALIZA VPLIVA BARVNEGA SPEKTRA NA UČINKOVITOST PREPOZNAVANJA OBJEKTOV V DIGITALNIH SLIKAH
Authors:	ID Žižek, Uroš (Author) ID Potočnik, Božidar (Mentor) More about this mentor... ID Šinjur, Smiljan (Comentor)
Files:	UN_Zizek_Uros_2015.pdf (1,68 MB) MD5: 2725CB07E544EF07CC79F401E19D5336
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	V diplomskem delu se ukvarjamo s študijem vpliva izbire barvnega spektra, v katerem so zajete digitalne slike, na uspešnost prepoznavanja objektov. Kot testno aplikacijo smo izbrali problem prepoznavanja prometnih znakov v slabih osvetlitvenih pogojih. S pomočjo sodobnih tehnologij smo razvili algoritem, ki na digitalnih posnetkih prepoznava prometne znake stop. Algoritem smo preizkusili na posnetkih, zajetih v različnih barvnih spektrih, in sicer v realnem okolju ter ob slabih osvetlitvenih pogojih. Najprej smo algoritem preizkusili na posnetkih, zajetih v vidnem spektru, nato pa še na posnetkih, zajetih v infrardečem (IR) spektru. Na podlagi dobljenih rezultatov smo proučili, kako izbira barvnega spektra vpliva na učinkovitost prepoznavanja objektov. Ugotovili smo, da je ob slabih osvetlitvenih pogojih bolje izbrati spekter IR.
Keywords:	računalniški vid, prepoznavanje objektov, barvni spekter, prometni znaki
Place of publishing:	[Maribor
Publisher:	U. Žižek
Year of publishing:	2015
PID:	20.500.12556/DKUM-47284
UDC:	004.932.75(043.2)
COBISS.SI-ID:	19026710
NUK URN:	URN:SI:UM:DK:P2URUS0C
Publication date in DKUM:	22.05.2015
Views:	1687
Downloads:	153
Metadata:
Categories:	KTFMB - FERI
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Secondary language

Language:	English
Title:	ANALYSIS OF THE IMPACT OF THE COLOUR SPECTRUM ON OBJECT RECOGNITION EFFICIENCY IN DIGITAL IMAGES
Abstract:	The diploma thesis deals with the effect of the selected colour spectrum in which the digital images are captured, on the success of object identification. The problem of identifying traffic signs in poor lighting conditions was selected as the test application. Using state-of-the-art technology, an algorithm for identification of stop traffic signs in digital images was developed. The algorithm was tested by using digital images which were taken in different colour spectra, in the real environment and in poor lighting conditions. First, the algorithm was tested using images which were taken in the visible spectrum and later with images which were taken in the infrared spectrum (IR). Based on the obtained results, the effect of the colour spectrum selection on the efficacy of object identification was studied. It was discovered that the IR spectrum is more suitable for poor lighting conditions.
Keywords:	computer vision, object recognition, colour spectrum, traffic signs

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