Detail publikace

Object detection in color images based on neural networks

HYNČICA, T. JIRSÍK, V.

Originální název

Object detection in color images based on neural networks

Anglický název

Object detection in color images based on neural networks

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}