Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Application of Linear Model Fitting in Image Edge Fast Detection

Authors
Peng Wang1, Zhao Wei
1Heilongjiang Institute of science and technology
Corresponding Author
Peng Wang
Available Online December 2008.
DOI
10.2991/jcis.2008.29How to use a DOI?
Keywords
linear model; parameter estimation; edge detection
Abstract

A linear model parameter estimation method is proposed based on Bayesian treatment in addition to the linear least squares ,The detail algorithm of one order linear model parameter estimation was introduced in the paper , it can also be used to the parameter estimation of multi-order linear model .we estimate the linear model parameter of image edge use this method .experiment result show that it can finish the parameters fast estimation and the detection of image edge depend on few observed data with a high detect precision.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
10.2991/jcis.2008.29How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Peng Wang
AU  - Zhao Wei
PY  - 2008/12
DA  - 2008/12
TI  - Application of Linear Model Fitting in Image Edge Fast Detection
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 167
EP  - 170
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.29
DO  - 10.2991/jcis.2008.29
ID  - Wang2008/12
ER  -