DocumentCode :
2471276
Title :
A systolic algorithm and architecture for image thinning
Author :
Ranganathan, N. ; Doreswamy, K.B.
Author_Institution :
Center for Microelectron. Res., Univ. of South Florida, Tampa, FL, USA
fYear :
1995
fDate :
16-18 Mar 1995
Firstpage :
138
Lastpage :
143
Abstract :
In this paper, we describe a new special purpose VLSI architecture for image thinning. The architecture is systolic and is based on an algorithm that achieves a high degree of parallelism. The proposed algorithm computes the skeleton of multiple objects in an image in linear time by making 2 scans over the 4-distance transform of the image. The algorithm is mapped onto a linear systolic array of simple processing elements (PEs) and for an N×N image, the architecture requires N PE´s. The entire array can be realized in a single VLSI chip. The proposed hardware can perform thinning on a 512×512 image in 2.59 msec and on a 256×256 image in 0.327 msec. Currently, a prototype CMOS VLSI chip implementing the proposed architecture is being designed and built at the University of South Florida
Keywords :
CMOS digital integrated circuits; VLSI; digital signal processing chips; image processing; parallel algorithms; pipeline processing; systolic arrays; 0.327 ms; 2.59 ms; 4-distance transform; CMOS; VLSI architecture; image thinning; linear time; multiple objects; parallelism; processing elements; single VLSI chip; skeleton; systolic algorithm; systolic architecture; Character recognition; Computer architecture; Computer science; Concurrent computing; Hardware; Microelectronics; Parallel processing; Pattern recognition; Skeleton; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI, 1995. Proceedings., Fifth Great Lakes Symposium on
Conference_Location :
Buffalo, NY
ISSN :
1066-1395
Print_ISBN :
0-8186-7035-5
Type :
conf
DOI :
10.1109/GLSV.1995.516040
Filename :
516040
Link To Document :
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