article · Annual Meeting Optical Society of America · 1987
Binary image algebra representations of optical cellular logic and symbolic substitution
Kung-Shiuh Huang, B. Keith Jenkins, A. A. Sawchuk
Cited by 0Abstract and details only
Abstract
Binary image algebra (BIA) provides a systematic mathematical formalism for both digital optical cellular logic and symbolic substitution processors, in addition to being a unified theory of parallel binary image processing. 1 Cellular logic operations and symbolic substitution rules are proved to be special cases of image transformations in BIA; and BIA serves as an algebraic theory for developing and analyzing parallel algorithms of both cellular logic and symbolic substitution.
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Huang, K.-S., Jenkins, B. K., & Sawchuk, A. A. (1987). Binary image algebra representations of optical cellular logic and symbolic substitution. Annual Meeting Optical Society of America, THA4. https://doi.org/10.1364/oam.1987.tha4
Huang, Kung-Shiuh, et al. “Binary image algebra representations of optical cellular logic and symbolic substitution.” Annual Meeting Optical Society of America, 1987, p. THA4, https://doi.org/10.1364/oam.1987.tha4.
Huang, Kung-Shiuh, B. Keith Jenkins, and A. A. Sawchuk. 1987. “Binary image algebra representations of optical cellular logic and symbolic substitution.” Annual Meeting Optical Society of America: THA4. https://doi.org/10.1364/oam.1987.tha4.
Huang, K.-S., Jenkins, B.K. and Sawchuk, A.A. (1987) ‘Binary image algebra representations of optical cellular logic and symbolic substitution’, Annual Meeting Optical Society of America, p. THA4. Available at: https://doi.org/10.1364/oam.1987.tha4.
@article{huang1987binary,
title = {{Binary image algebra representations of optical cellular logic and symbolic substitution}},
author = {Huang, Kung-Shiuh and Jenkins, B. Keith and Sawchuk, A. A.},
journal = {Annual Meeting Optical Society of America},
pages = {THA4},
year = {1987},
doi = {10.1364/oam.1987.tha4}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.