Title :
Preserving internal contrast in image fusion using fuzzy sets theory
Author :
Nejatali, A. ; Ciric, I.R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
A new method for the multimodality image fusion, in presence of noise, without compromising the internal contrast, based on fuzzy sets theory, is presented. A simulation has been performed to demonstrate the application and the main features of the proposed method
Keywords :
fuzzy set theory; image processing; noise; sensor fusion; fuzzy set theory; internal contrast preservation; multimodality image fusion; noise; simulation; Application software; Computational modeling; Fusion power generation; Fuzzy sets; Image fusion; Image generation; Image resolution; Marine vehicles; Measurement errors; Pixel;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.608309
