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Mathematics in Image Processing
2013Table of Contents * Introduction u by H. Zhao * MRA-based wavelet frames and applications u by B. Dong and Z. Shen * Five lectures on sparse and redundant representations modelling of images u by M. Elad * Simulation of elasticity, biomechanics, and virtual surgery u by J. M. Teran, J. L.
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Mathematical Modeling of Real-World Images
Constructive Approximation, 1996In ``Mathematical modeling of real-world images'' the author considers the problem of approximating images using appropriate mathematical objects. If \(D = [0,1]^2\), the author defines the metric space \(IM_D\) of completed graphs of bounded functions (as closed bounded subsets of \(\mathbb{R}^3)\) with the Hausdorff distance.
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2006
Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images.
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Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images.
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1998
The public image of mathematics is not of the best. The work of mathematicians and to a certain extent the work of computer scientists is not considered as an important contribution to our civilisation. Even in countries like France where mathematics enjoyed a higher reputation than elsewhere, things have changed.
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The public image of mathematics is not of the best. The work of mathematicians and to a certain extent the work of computer scientists is not considered as an important contribution to our civilisation. Even in countries like France where mathematics enjoyed a higher reputation than elsewhere, things have changed.
openaire +1 more source
Mathematical Morphology for Binary Images
2021Mathematical morphology is a mathematical tool for analyzing images based on morphology (Serra 1982).
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
exaly
Mathematical methods in imaging
IEEE Signal Processing Magazine, 2002A.O. Hero, H. Krim
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