Faster access than browser!Similarities between Gaussian blur and Gaussian function
Gaussian blur and Gaussian function have 10 things in common (in Unionpedia): Carl Friedrich Gauss, Computer vision, Convolution, Digital image processing, Gaussian filter, Normal distribution, Scale space, Scale space implementation, Standard deviation, Weierstrass transform.
Carl Friedrich Gauss
Johann Carl Friedrich Gauss (Gauß; Carolus Fridericus Gauss; 30 April 177723 February 1855) was a German mathematician and physicist who made significant contributions to many fields, including algebra, analysis, astronomy, differential geometry, electrostatics, geodesy, geophysics, magnetic fields, matrix theory, mechanics, number theory, optics and statistics.
Carl Friedrich Gauss and Gaussian blur · Carl Friedrich Gauss and Gaussian function ·
Computer vision
Computer vision is a field that deals with how computers can be made for gaining high-level understanding from digital images or videos.
Computer vision and Gaussian blur · Computer vision and Gaussian function ·
Convolution
In mathematics (and, in particular, functional analysis) convolution is a mathematical operation on two functions (f and g) to produce a third function, that is typically viewed as a modified version of one of the original functions, giving the integral of the pointwise multiplication of the two functions as a function of the amount that one of the original functions is translated.
Convolution and Gaussian blur · Convolution and Gaussian function ·
Digital image processing
In computer science, Digital image processing is the use of computer algorithms to perform image processing on digital images.
Digital image processing and Gaussian blur · Digital image processing and Gaussian function ·
Gaussian filter
In electronics and signal processing, a Gaussian filter is a filter whose impulse response is a Gaussian function (or an approximation to it).
Gaussian blur and Gaussian filter · Gaussian filter and Gaussian function ·
Normal distribution
In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.
Gaussian blur and Normal distribution · Gaussian function and Normal distribution ·
Scale space
Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision.
Gaussian blur and Scale space · Gaussian function and Scale space ·
Scale space implementation
The linear scale-space representation of an N-dimensional continuous signal, is obtained by convolving fC with an N-dimensional Gaussian kernel: In other words: However, for implementation, this definition is impractical, since it is continuous.
Gaussian blur and Scale space implementation · Gaussian function and Scale space implementation ·
Standard deviation
In statistics, the standard deviation (SD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values.
Gaussian blur and Standard deviation · Gaussian function and Standard deviation ·
Weierstrass transform
In mathematics, the Weierstrass transform of a function, named after Karl Weierstrass, is a "smoothed" version of obtained by averaging the values of, weighted with a Gaussian centered at x.
Gaussian blur and Weierstrass transform · Gaussian function and Weierstrass transform ·
The list above answers the following questions
- What Gaussian blur and Gaussian function have in common
- What are the similarities between Gaussian blur and Gaussian function
Gaussian blur and Gaussian function Comparison
Gaussian blur has 38 relations, while Gaussian function has 91. As they have in common 10, the Jaccard index is 7.75% = 10 / (38 + 91).
References
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