June 2014
Intermediate to advanced
464 pages
11h 15m
English
book
Mathematical Foundations of Image Processing and Analysis, Volume 1
by Jean-Charles Jean-Charles Pinoli Pinoli
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Index of Subjects
Symbols
(Zermelo)-Russell’s paradox
1-D Marcus-Wyse’s topology
2-1/2-D image
2-D Aleksandrov-Hopf’s topology
2-D Marcus-Wyse’s topology
2.5D sketch
A
Absolute complementation
Absolute threshold
Absolute value
Active contour
Acutance
Adaptive neighborhood
Adaptive notion
Adaptive range
Additivity
Adherent point
Adjacency
Adjacency relationship
Adjacency system
Adjoint operator
Advection
Aggregate
Albedo
Alexandrov space
Algebra
Algebra of sets
Algebraic and order functional framework
Algebraic dual
Algebraic Topology
Algorithm
Aliasing
Alternate sequential morphological filter
Ambiant space
Ambrosio-Tortorelli’s functionals
Amodal completion visual process
Amplitude
Anti-extensivity
Anti-symmetric relation
Aperture function
Arctangent function with two arguments
Argument
Arithmetic averaging
Arrival set
Artifact
Artificial Vision
Associativity axiom
Attenuation coefficient
Autocorrelation function
Automorphism
Axiom
B
Babuška-Lax-Milgram’s theorem
Background pixel
Baire space
Ball
Banach algebra complete lattice
Banach space
Banach vector complete lattice
Banach-Schauder’s open mapping theorem
Banach-Steinhaus’ theorem
Band-limited
Band-pass filter
Bandelet
Basset function
Bayesian interpretation of probability
Bellettini-Coscia’s functionals
Benedicks’ theorem
Bessel functions
Bessel’s inequality
Bi-Laplacian
Bi-Laplacian operator
Bi-Lipchitz mapping
Bidirectional reflectance distribution function
Bifurcation Theory
Bijective mapping
Bilinear functional
Binarization ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.