Mumford and Shah functional: VLSI analysis and implementation

Author

Martina, Maurizio ; Masera, Guido

Author_Institution

Dipt. di Elettronica, Politecnico di Torino, Italy

Volume

28

Issue

3

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

487

Lastpage

494

Abstract

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 μm standard cells technology are presented.

Keywords

VLSI; image segmentation; iterative methods; motion estimation; Mumford functional; Shah functional; fast VLSI analysis; finite precision representation sensitivity; motion estimation; segmentation techniques; standard cells technology; Computational complexity; Energy consumption; Hardware; Image segmentation; Iterative methods; Mathematical model; Motion estimation; Optical sensors; Pixel; Very large scale integration; Index Terms- Image segmentation; Mumford and Shah; VLSI implementation.; performance evaluation; Algorithms; Artificial Intelligence; Computer Graphics; Equipment Design; Equipment Failure Analysis; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Reproducibility of Results; Semiconductors; Sensitivity and Specificity; Signal Processing, Computer-Assisted; User-Computer Interface;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2006.59

Filename

1580494