Title :
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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6181912
