Introduction - If you have any usage issues, please Google them yourself
The paper is organized as following seven parts. Firstly, Section 1
gives an introduction of the background, significance and development of
the field of edge detection. And Section 2 introduces several classic edge
detectors and gives edge detection results of these methods and offers
some relative analysis and comparison. Then Section 3 offers specific
knowledge about the architecture and mathematical model of the BP
neural network. The specific algorithm and architecture of the proposed
new edge detector based on the statistical vector and the BP neural
network are introduced in Section 4. And an effective algorithm of edge
thinning which is helpful for accurate edge localization is offered in
Section 5. Experimental results and analysis of the performance of the
new edge detector are presented in Section 6. At last, the paper ends with
some further research plans mentioned in Section 7.