Publication 2006 Issue No. 3 - March Abstract - Mumford and Shah Functional: VLSI Analysis and Implementation
Mumford and Shah Functional: VLSI Analysis and Implementation
March 2006 (vol. 28 no. 3)
pp. 487-494
 ASCII Text x Maurizio Martina, Guido Masera, "Mumford and Shah Functional: VLSI Analysis and Implementation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 487-494, March, 2006.
 BibTex x @article{ 10.1109/TPAMI.2006.59,author = {Maurizio Martina and Guido Masera},title = {Mumford and Shah Functional: VLSI Analysis and Implementation},journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},volume = {28},number = {3},issn = {0162-8828},year = {2006},pages = {487-494},doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.59},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on Pattern Analysis and Machine IntelligenceTI - Mumford and Shah Functional: VLSI Analysis and ImplementationIS - 3SN - 0162-8828SP487EP494EPD - 487-494A1 - Maurizio Martina, A1 - Guido Masera, PY - 2006KW - Index Terms- Image segmentationKW - Mumford and ShahKW - performance evaluationKW - VLSI implementation.VL - 28JA - IEEE Transactions on Pattern Analysis and Machine IntelligenceER -
This paper describes the analysis of the Mumford and Shah functional from the implementation point of view. Our goal is to show results in terms of complexity for real-time applications, such as motion estimation based on segmentation techniques, of the Mumford and Shah functional. Moreover, the sensitivity to finite precision representation is addressed, a fast VLSI architecture is described, and results obtained for its complete implementation on a 0.13 \mu\rm m standard cells technology are presented.

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Index Terms:
Index Terms- Image segmentation, Mumford and Shah, performance evaluation, VLSI implementation.
Citation:
Maurizio Martina, Guido Masera, "Mumford and Shah Functional: VLSI Analysis and Implementation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 487-494, March 2006, doi:10.1109/TPAMI.2006.59