Image Processing Methods Usable for Object Detection on the Chessboard

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39902065" target="_blank" >RIV/00216275:25530/16:39902065 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.matec-conferences.org/articles/matecconf/pdf/2016/38/matecconf_icmie2016_03004.pdf" target="_blank" >http://www.matec-conferences.org/articles/matecconf/pdf/2016/38/matecconf_icmie2016_03004.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/matecconf/20167503004" target="_blank" >10.1051/matecconf/20167503004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image Processing Methods Usable for Object Detection on the Chessboard

Popis výsledku v původním jazyce

Image segmentation and object detection is challenging problem in many research. Although many algorithms for image segmentation have been invented, there is no simple algorithm for image segmentation and object detection. Our research is based on combination of several methods for object detection. The first method suitable for image segmentation and object detection is colour detection. This method is very simply, but there is problem with different colours. For this method it is necessary to have precisely determined colour of segmented object before all calculations. In many cases it is necessary to determine this colour manually. Alternative simply method is method based on background removal. This method is based on difference between reference image and detected image. In this paper several methods suitable for object detection are described. Thisresearch is focused on coloured object detection on chessboard. The results from this research with fusion of neural networks for user-computer game checkers will be applied.

Název v anglickém jazyce

Image Processing Methods Usable for Object Detection on the Chessboard

Popis výsledku anglicky

Image segmentation and object detection is challenging problem in many research. Although many algorithms for image segmentation have been invented, there is no simple algorithm for image segmentation and object detection. Our research is based on combination of several methods for object detection. The first method suitable for image segmentation and object detection is colour detection. This method is very simply, but there is problem with different colours. For this method it is necessary to have precisely determined colour of segmented object before all calculations. In many cases it is necessary to determine this colour manually. Alternative simply method is method based on background removal. This method is based on difference between reference image and detected image. In this paper several methods suitable for object detection are described. Thisresearch is focused on coloured object detection on chessboard. The results from this research with fusion of neural networks for user-computer game checkers will be applied.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2016 International Conference on Measurement Instrumentation and Electronics (ICMIE)

ISBN

—

ISSN

2261-236X

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

E D P SCIENCES

Místo vydání

CEDEX A

Místo konání akce

Munich

Datum konání akce

6. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000387539800015