Detail publikace

Evolutionary Approximation of Edge Detection Circuits

DVOŘÁČEK, P. SEKANINA, L.

Originální název

Evolutionary Approximation of Edge Detection Circuits

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Approximate computing exploits the fact that many applications are inherently error resilient which means that some errors in their outputs can safely be exchanged for improving other parameters such as energy consumption or operation frequency. A new method based on evolutionary computing is proposed in this paper which enables to approximate edge detection circuits. Rather than evolving approximate edge detectors from scratch, key components of existing edge detector are replaced by their approximate versions obtained using Cartesian genetic programming (CGP). Various approximate edge detectors are then composed and their quality is evaluated using a database of images. The paper reports interesting edge detectors showing a good tradeoff between the quality of edge detection and implementation cost.

Klíčová slova

Edge detection circuits, Cartesian genetic programming, Evolutionary computation

Autoři

DVOŘÁČEK, P.; SEKANINA, L.

Vydáno

30. 3. 2016

Nakladatel

Springer International Publishing

Místo

Berlin

ISBN

978-3-319-30667-4

Kniha

19th European Conference on Genetic programming

Edice

Lecture Notes in Computer Science

Strany od

19

Strany do

34

Strany počet

16

URL

https://www.fit.vut.cz/research/publication/10998/

BibTex

@inproceedings{BUT130921,
  author="Petr {Dvořáček} and Lukáš {Sekanina}",
  title="Evolutionary Approximation of Edge Detection Circuits",
  booktitle="19th European Conference on Genetic programming",
  year="2016",
  series="Lecture Notes in Computer Science",
  volume="9594",
  pages="19--34",
  publisher="Springer International Publishing",
  address="Berlin",
  doi="10.1007/978-3-319-30668-1\{_}2",
  isbn="978-3-319-30667-4",
  url="https://www.fit.vut.cz/research/publication/10998/"
}