Parallel object classification algorithms in images
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DOI:
https://doi.org/10.15625/1813-9663/10/3/8195Abstract
The contribution concerns a parallelization of object classification algorithms for a SIMD-type parallel machine. It is assumed that gray-level values of image pixels are located in the orthogonal memory block on which a vector of one-bit processor operates in the bit-serial and word – parallel mode. For this computer, the Bayes classification algorithm, the K-mean algorithm and the ensemble average classifier and described.
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Published
15-04-2016
How to Cite
[1]
L. C. Mai, “Parallel object classification algorithms in images”, JCC, vol. 10, no. 3, p. 25–34, Apr. 2016.
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Computer Science
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