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- W2094264695 abstract "It has been well established that the Air Force Armament Technical Laboratory (AFATL) image algebra is capable of expressing all linear transformations [7]. The embedding of the linear algebra in the image algebra makes this possible. In this paper we show a relation of the image algebra to another algebraic system called the minimax algebra. This system is used extensively in economics and operations research, but until now has not been investigated for applications to image processing. The relationship is exploited to develop new optimization methods for a class of non-linear image processing transforms. In particular, a general decomposition technique for templates in this non-linear domain is presented. Template decomposition techniques are an important tool in mapping algorithms efficiently to both sequential and massively parallel architectures." @default.
- W2094264695 created "2016-06-24" @default.
- W2094264695 creator A5010268023 @default.
- W2094264695 date "1989-08-30" @default.
- W2094264695 modified "2023-10-01" @default.
- W2094264695 title "Minimax Techniques For Optimizing Non-Linear Image Algebra Transforms" @default.
- W2094264695 doi "https://doi.org/10.1117/12.960431" @default.
- W2094264695 hasPublicationYear "1989" @default.
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