Image fusion of fibrous fracture surface based on Pulse Coupled Neural Network

Author

Ma Song ; Feng Weichen ; Lin Xiaolong ; Zhang Jiaquan

Author_Institution

Coll. of Phys., Jilin Univ., Changchun, China

Volume

1

fYear

2011

Firstpage

76

Lastpage

79

Abstract

A method is proposed for image fusion of fibrous fracture surface based on Pulse Coupled Neural Network. Firstly, the field depth of an image capture optical system for fibrous fracture surface is studied, and explains the cause for multi-focus image of fibrous fracture surface. Secondly, the image fusion of fibrous fracture surface based on Pulse Coupled Neural Network is introduced, which is to take definition matrix of source images obtained as input of PCNN, and then fuse the source images according the output binary image and some fuse rules. Finally, we got the image fused. The experiment proved that this method showed good fusion effect, which can get good image of fibrous fracture surface.

Keywords

image fusion; matrix algebra; neural nets; PCNN; definition matrix; fibrous fracture surface; image capture optical system; image fusion; pulse coupled neural network; Optical fiber networks; PNCC; fibrous fracture surface; field depth; image fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2011 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-1586-0

Type

conf

DOI

10.1109/ICCSNT.2011.6181912

Filename

6181912