Publication detail
Object detection in color images based on neural networks
HYNČICA, T. JIRSÍK, V.
Original Title
Object detection in color images based on neural networks
English Title
Object detection in color images based on neural networks
Type
conference paper
Language
en
Original Abstract
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.
English abstract
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.
Keywords
RCE neural network, color spaces, object detection
RIV year
2012
Released
05.09.2012
Publisher
LITERA Brno
Location
Brno
ISBN
978-80-214-4547-5
Book
Workshop Perspektivní projekty vývoje řídicích a senzorických technologií září 2012
Edition number
1
Pages from
45
Pages to
49
Pages count
5
Documents
BibTex
@inproceedings{BUT93982,
author="Tomáš {Hynčica} and Václav {Jirsík}",
title="Object detection in color images based on neural networks",
annote="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.",
address="LITERA Brno",
booktitle="Workshop Perspektivní projekty vývoje řídicích a senzorických technologií září 2012",
chapter="93982",
howpublished="print",
institution="LITERA Brno",
year="2012",
month="september",
pages="45--49",
publisher="LITERA Brno",
type="conference paper"
}