DocumentCode :
2356618
Title :
Stochastic resonance: An approach for enhanced medical image processing
Author :
Peng, Renbin ; Chen, Hao ; Varshney, Pramod K. ; Michels, James H.
Author_Institution :
Syracuse Univ., Syracuse
fYear :
2007
fDate :
8-9 Nov. 2007
Firstpage :
253
Lastpage :
256
Abstract :
This paper presents a novel application of the stochastic resonance effect in medical image processing. Aiming to improve system performance, two noise modified image processing schemes are proposed. Performances of several medical image processing systems are shown to improve when suitable stochastic resonance noise is added.
Keywords :
medical image processing; noise; resonance; stochastic processes; enhanced medical image processing; noise; stochastic resonance; Biomedical image processing; Biomedical imaging; Diseases; Image processing; Medical diagnostic imaging; Optical imaging; Stochastic resonance; Strontium; System performance; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Life Science Systems and Applications Workshop, 2007. LISA 2007. IEEE/NIH
Conference_Location :
Bethesda, MD
Print_ISBN :
978-1-4244-1813-8
Electronic_ISBN :
978-1-4244-1813-8
Type :
conf
DOI :
10.1109/LSSA.2007.4400932
Filename :
4400932
Link To Document :
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