DocumentCode
3417552
Title
The connecting of images based on machine vision and neural network
Author
Ding, Yi ; Wang, Tianjiang ; Fu, Xian
Author_Institution
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
391
Lastpage
394
Abstract
This paper introduces a novel method for image connecting using neural network. The algorithm finds the major overlapping area in the images to be connected using neural network and then join the images. The input to the network is edge detected images created by applying an algorithm on the original images. This work documents theoretical and computational investigation of connecting any two given images using SOM. It proves that Self-organizing neural networks can be efficiently used for this purpose.
Keywords
computer vision; edge detection; self-organising feature maps; edge detection; image connection method; machine vision; neural network; self-organizing feature map; Biological neural networks; Image edge detection; Joining processes; Neurons; Testing; Training; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-61284-374-2
Type
conf
DOI
10.1109/IWACI.2011.6160038
Filename
6160038
Link To Document