DocumentCode :
3240736
Title :
Mumford and Shah functional: finite precision analysis and software implementation
Author :
Martina, Maurizio ; Masera, G.
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
fYear :
2004
fDate :
18-21 Dec. 2004
Firstpage :
322
Lastpage :
325
Abstract :
Mumford and Shah functional is an effective technique to simultaneously achieve image segmentation and smoothing. In this paper finite precision representation effects and software implementation on fixed point and floating point microprocessors is discussed.
Keywords :
fixed point arithmetic; floating point arithmetic; functional analysis; image segmentation; microprocessor chips; smoothing methods; Mumford function; Shah function; finite precision analysis; fixed point microprocessors; floating point microprocessors; image segmentation; image smoothing; software implementation; Differential equations; Energy consumption; Gaussian processes; Image edge detection; Image restoration; Image segmentation; Interpolation; Iterative algorithms; Noise reduction; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN :
0-7803-8689-2
Type :
conf
DOI :
10.1109/ISSPIT.2004.1433749
Filename :
1433749
Link To Document :
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