DocumentCode
2534379
Title
Adaptive image sensing and enhancement using the adaptive cellular neural network Universal Machine
Author
Brendel, Matyás ; Roska, Tantás
Author_Institution
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear
2000
fDate
2000
Firstpage
93
Lastpage
98
Abstract
A simple but powerful active image equalization method is introduced via adaptive CNN-UM sensor-computers. The method can be used for the adaptive control of image sensing and for subsequent image enhancement. The algorithm uses intensity and contrast content as well. The method is completely executable on the adaptive cellular neural network Universal Machine (ACNN-UM) architecture. The adaptive extended cell is presented
Keywords
adaptive control; cellular neural nets; image enhancement; active image equalization method; adaptive CNN-UM sensor-computers; adaptive cellular neural network Universal Machine; adaptive image sensing; Adaptive control; Adaptive equalizers; Adaptive systems; Cellular neural networks; Computer architecture; Computer networks; Concurrent computing; Histograms; Image enhancement; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location
Catania
Print_ISBN
0-7803-6344-2
Type
conf
DOI
10.1109/CNNA.2000.876827
Filename
876827
Link To Document