Object detection in color images based on neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99835" target="_blank" >RIV/00216305:26220/12:PU99835 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Object detection in color images based on neural networks
Original language description
Object detection is an important task in image processing and computer vision and artificial neural networks are very promising tool for such tasks. Since in most cases the color image contains much more information about image features than grayscale image, we focused on them. However, more complicated image processing methods are required to deal with processing of color images. The proper color representation (color space) is crucial for successful processing of color images. For that reason four color spaces (RGB, HSL, YCbCr and L*a*b*) are used. For object detection we used a RCE (Reduced Coulomb Energy) neural network.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop Perspektivní projekty vývoje řídicích a senzorických technologií září 2012
ISBN
978-80-214-4547-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
45-49
Publisher name
LITERA Brno
Place of publication
Brno
Event location
Velké Karlovice
Event date
Sep 5, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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