[PDF.15hv] Mathematical Morphology and Its Applications to Image and Signal Processing (Computational Imaging and Vision)

Mathematical Morphology and Its Applications to Image and Signal Processing (Computational Imaging and Vision)

[PDF.xj71] Mathematical Morphology and Its Applications to Image and Signal Processing (Computational Imaging and Vision)

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 | #8325332 in Books |  Springer |  1996-05-31 | Original language:English | PDF # 1 |  9.21 x1.06 x6.14l,1.76 | File type: PDF | 476 pages

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||1 of 1 people found the following review helpful.| Written from the experts|By A Customer|This collection of papers is the best way to approach this field of nonlinear science. The selection of papers is very well processed by the editors. All of them are the pioneers on the nonlinear signal processing and present the basic principles of the theory without giving emphasis to secondary details.

Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry.
MM was initiated in the ...

You easily download any file type for your gadget.Mathematical Morphology and Its Applications to Image and Signal Processing (Computational Imaging and Vision)   |  From Brand: Springer.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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