Title :
Mumford and Shah functional: VLSI analysis and implementation
Author :
Martina, Maurizio ; Masera, Guido
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
fDate :
3/1/2006 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.59
