DocumentCode :
929392
Title :
A bit-serial VLSI architecture for generating moments in real-time
Author :
Liu, Wentai ; Chen, Su-Shing ; Cavin, Ralph
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume :
23
Issue :
2
fYear :
1993
Firstpage :
539
Lastpage :
546
Abstract :
In computer vision and image processing, the high degree of parallelism and pipelining of algorithms is often obstructed by the raster-scan I/O constraint and the information growing property of multiresolution structures. The approach of formulating algorithms in the pyramid structure as a binary tree structure, and mapping the binary tree structure into a linear pipelined array of 2logN levels for N×N images using a first-in, first-out technique (FIFO) to emulate the tree connections is proposed. It turns out that several geometric feature extraction algorithms such as moment generation can be represented in this scheme so that the inherent information growing of the algorithms enables the exploitation of bit-level concurrency in the architectural design. Consequently, the design of pipelined processor at each level is significantly simplified using bit-serial arithmetic, and this VLSI architecture is capable of generating moments concurrently in real-time
Keywords :
VLSI; feature extraction; image processing; parallel processing; pipeline processing; real-time systems; binary tree structure; bit-level concurrency; bit-serial VLSI architecture; computer vision; geometric feature extraction algorithms; image processing; information growing property; multiresolution structures; parallelism; pipelining; pyramid structure; raster-scan I/O constraint; real-time moment generation; Binary trees; Computer architecture; Computer vision; Concurrent computing; Feature extraction; Image processing; Image resolution; Parallel processing; Pipeline processing; Very large scale integration;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.229466
Filename :
229466
Link To Document :
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