1 January 2001 Gray-scale image processing algorithms using finite-state machine concepts
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J. of Electronic Imaging, 10(1), (2001). doi:10.1117/1.1329334
Abstract
The early work on separated-kernel image processing using finite state machines (SKIPSM) concentrated mainly on binary processing which provided a fast means to implement binary morphology with very large structuring elements in a single pass using relatively small lookup tables. The basic concept can be extended to certain gray-scale processing techniques with a useful improvement in processing speed. Gray-scale SKIPSM algorithms present more of a challenge because the extremely large number of states that exist make the use of the lookup tables for the direct implementation of finite state machines impractical. However, as will be demonstrated, it is still possible to realize significant speed advantages with SKIPSM-implemented gray-scale processing using appropriate coding techniques. This paper describes two such techniques, grayscale morphology and Gaussian low-pass filtering.
Frederick M. Waltz, John W. V. Miller, "Gray-scale image processing algorithms using finite-state machine concepts," Journal of Electronic Imaging 10(1), (1 January 2001). http://dx.doi.org/10.1117/1.1329334
JOURNAL ARTICLE
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KEYWORDS
Image processing

Binary data

Convolution

Gaussian filters

Linear filtering

Image filtering

Computer programming

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