Title :
A new method for image fusion based on fuzzy neural network
Author :
Zhang, De-Gan ; Wang, Yuan-yuan ; Liu, Wei-wei ; Zhang, Xiao-li
Author_Institution :
Tianjin Key Lab. of Intell. Comput. & Novel software Technol., Tianjin Univ. of Technol., Tianjin, China
Abstract :
In pervasive computing paradigm, the image data obtained by a variety of multimedia, information equipment. In order to make use of these information reasonably and efficiently, a new method for image fusion based on fuzzy neural network has presented in this paper. It can fuse massive data from the multi-sensor image. Here, fuzzy neural network is a parallel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. The fuzzy neural network system developed by us can be used in multi-sensor image fusion. Based on our experiments, it has been proved that the fusion is fast, effective, and can meet the real-time requirements of pervasive computing.
Keywords :
fuzzy neural nets; image fusion; parallel processing; ubiquitous computing; data retrieval; fuzzy neural network; multisensor image fusion; parallel information processing model; pattern recognition; pervasive computing; Adaptation model; Annealing; Gain measurement; Image resolution; Weight measurement;
Conference_Titel :
Modelling, Identification and Control (ICMIC), The 2010 International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-8381-5
Electronic_ISBN :
978-0-9555293-3-7