Convolution on mesh connected multicomputers
Journal Article
·
· IEEE (Institute of Electrical and Electronics Engineers) Transactions on Pattern Analysis and Machine Intelligence; (USA)
- School of Computer and Information Science, Syracuse Univ., Syracuse, NY (US)
- Minnesota Univ., Minneapolis, MN (USA). Dept. of Computer Science
Convolution is an important primitive in computer vision and image processing. The authors present an efficient algorithm for convolution on a mesh connected computer with wrap-around. Their algorithm does not require a broadcast feature for data values as assumed by previously proposed algorithms. As a result, the algorithm is applicable both to SIMD as well s MIMD meshes. For an {ital N} {times} {ital N} image and a {ital M} {times}{ital M} template, the previous algorithms take {ital O}({ital M}{sup 2}{ital q}) time on an {ital N} {times} {ital N} mesh connected multicomputer ({ital q} is the number of bits in each entry of the convolution matrix). The authors' algorithms have complexity {ital O}({ital M}{sup 2}{ital r}) where {ital r} = max {l brace}number of bits in an image entry, number of bits in a template entry{r brace}. In addition to not requiring a broadcast capability, the authors' algorithms are faster for binary images.
- OSTI ID:
- 7052130
- Journal Information:
- IEEE (Institute of Electrical and Electronics Engineers) Transactions on Pattern Analysis and Machine Intelligence; (USA), Journal Name: IEEE (Institute of Electrical and Electronics Engineers) Transactions on Pattern Analysis and Machine Intelligence; (USA) Vol. 12:3; ISSN 0162-8828; ISSN ITPID
- Country of Publication:
- United States
- Language:
- English
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