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- W2132361536 abstract "We propose a strategy to design recursive implementations of the Gaussian filter and Gaussian regularized derivative filters. Each recursive filter consists of a cascade of two stable Nth-order subsystems (causal and anti-causal). The computational complexity is 2N multiplications per pixel per dimension independent of the size (/spl sigma/) of the Gaussian kernel. The filter coefficients have a closed-form solution as a function of scale (/spl sigma/) and recursion order N (N=3, 4, 5). The recursive filters yield a high accuracy and excellent isotropy in n-D space." @default.
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- W2132361536 date "2002-11-27" @default.
- W2132361536 modified "2023-10-17" @default.
- W2132361536 title "Recursive Gaussian derivative filters" @default.
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- W2132361536 doi "https://doi.org/10.1109/icpr.1998.711192" @default.
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