Automatic parameters selection method of edge detector in the unstructured environment

Document Type

Conference Proceeding

Publication Date

1-1-2009

Abstract

Studies of edge detect algorithms are carried out based on grads in this paper. In order to improve the ability of parameters selection adaptively, a new method of automatic selection of edge detector parameters based on algorithm of Ostu and statistical theory is presented. The global optimized parameters are determined automatically and adaptively through an optimized method of statistics. Canny edge detector is used to prove the validity for proposed method. Experiment results show that, based on proposed method, the noise is effectively reduced, the optimized parameters is automatically selected, and the precision of edge detection is adaptively improved. This kind of detecting method has the advantages to apply to unstructured environments without prior-knowledge. © 2008 IEEE.

Publication Source (Journal or Book title)

2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

First Page

1740

Last Page

1743

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