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Scale space implementation information


Scale space
Scale-space axioms
Scale space implementation
Feature detection
Edge detection
Blob detection
Corner detection
Ridge detection
Interest point detection
Scale selection
Affine shape adaptation
Scale-space segmentation

In the areas of computer vision, image analysis and signal processing, the notion of scale-space representation is used for processing measurement data at multiple scales, and specifically enhance or suppress image features over different ranges of scale (see the article on scale space). A special type of scale-space representation is provided by the Gaussian scale space, where the image data in N dimensions is subjected to smoothing by Gaussian convolution. Most of the theory for Gaussian scale space deals with continuous images, whereas one when implementing this theory will have to face the fact that most measurement data are discrete. Hence, the theoretical problem arises concerning how to discretize the continuous theory while either preserving or well approximating the desirable theoretical properties that lead to the choice of the Gaussian kernel (see the article on scale-space axioms). This article describes basic approaches for this that have been developed in the literature.

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Scale space implementation

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different ranges of scale (see the article on scale space). A special type of scale-space representation is provided by the Gaussian scale space, where the image...

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Scale space

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Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities...

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Gaussian blur

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to enhance image structures at different scales—see scale space representation and scale space implementation. Mathematically, applying a Gaussian blur...

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Gaussian filter

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Gaussian kernel Elliptic filter Gaussian blur Gaussian pyramid Scale space Scale space implementation Orwiler, Bob (1969). Oscilloscope Vertical Amplifiers (PDF)...

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Gaussian function

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and can lead to undesired effects, as described in the article scale space implementation. An alternative approach is to use the discrete Gaussian kernel:...

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Multidimensional scaling

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smallest space analysis (SSA) is an example of a non-metric MDS procedure. An extension of metric multidimensional scaling, in which the target space is an...

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Kardashev scale

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outlined his scale in a paper presented at the 1964 Byurakan conference in Armenia, a scientific meeting that reviewed the Soviet radio astronomy space listening...

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Hough transform

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some 2D space), the Generalised Hough transform is used, which allows a feature to vote for a particular position, orientation and/or scaling of the shape...

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Blob detection

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{1}{2\pi t}}e^{-{\frac {x^{2}+y^{2}}{2t}}}} at a certain scale t {\displaystyle t} to give a scale space representation L ( x , y ; t )   = g ( x , y , t )...

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Corner detection

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C source code. Online Implementation of the Harris Corner Detector - IPOL blob detection affine shape adaptation scale space ridge detection interest...

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SpaceX

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Space Exploration Technologies Corporation, commonly referred to as SpaceX, is an American spacecraft manufacturer, launch service provider and satellite...

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Circle Hough Transform

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peaks in the Hough parameter spaces. This method is substantially superior to the standard Hough Transform implementation in both storage and computational...

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Space Shuttle Challenger disaster

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2020. Retrieved December 31, 2018. "Implementation of the Recommendations of the Presidential Commission on the Space Shuttle Challenger Accident, Recommendation...

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Speeded up robust features

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level of the scale space is obtained from the output of the 9×9 filters. Hence, unlike previous methods, scale spaces in SURF are implemented by applying...

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Histogram of oriented gradients

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histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that it is computed on a dense grid of uniformly spaced cells...

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Canny edge detector

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formulated in terms of second- and third-order derivatives computed from a scale space representation (Lindeberg 1998) – see the article on edge detection for...

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Generalised Hough transform

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Generalized Hough transform implementation http://www.irit.fr/~Julien.Pinquier/Docs/Hough_transform.html FPGA implementation of generalized Hough transforms...

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Edge detection

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computed from a scale space representation leading to a number of advantages in terms of both theoretical analysis and sub-pixel implementation. In that aspect...

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Spaced repetition

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retrieval). Many studies over the years have contributed to the use and implementation of spaced repetition, and it still remains a subject of interest for many...

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Scalability

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Scalability is the property of a system to handle a growing amount of work. One definition for software systems specifies that this may be done by adding...

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TORRO scale

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The TORRO tornado intensity scale (or T-Scale) is a scale measuring tornado intensity between T0 and T11. It was proposed by Terence Meaden of the Tornado...

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Technology readiness level

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of Defense has used the scale for procurement since the early 2000s. By 2008 the scale was also in use at the European Space Agency (ESA). The European...

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Space colonization

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in the event of a planetary-scale disaster (natural or human-made), and the availability of additional resources in space that could enable expansion...

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