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  2. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    The Hough transform (/ h ʌ f /) is a feature extraction technique used in image analysis, computer vision, pattern recognition, and digital image processing. [1] [2] The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.

  3. Cost of electricity by source - Wikipedia

    en.wikipedia.org/wiki/Cost_of_electricity_by_source

    The levelized cost of electricity (LCOE) is a metric that attempts to compare the costs of different methods of electricity generation consistently. Though LCOE is often presented as the minimum constant price at which electricity must be sold to break even over the lifetime of the project, such a cost analysis requires assumptions about the value of various non-financial costs (environmental ...

  4. Randomized Hough transform - Wikipedia

    en.wikipedia.org/wiki/Randomized_Hough_Transform

    Hough transforms are techniques for object detection, a critical step in many implementations of computer vision, or data mining from images. Specifically, the Randomized Hough transform is a probabilistic variant to the classical Hough transform, and is commonly used to detect curves (straight line, circle, ellipse, etc.) [1] The basic idea of Hough transform (HT) is to implement a voting ...

  5. Comparison of optimization software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_optimization...

    Given a system transforming a set of inputs to output values, described by a mathematical function f, optimization refers to the generation and selection of the best solution from some set of available alternatives, [1] by systematically choosing input values from within an allowed set, computing the value of the function, and recording the best value found during the process.

  6. Radon measure - Wikipedia

    en.wikipedia.org/wiki/Radon_measure

    A real-valued Radon measure is defined to be any continuous linear form on K (X); they are precisely the differences of two Radon measures. This gives an identification of real-valued Radon measures with the dual space of the locally convex space K (X). These real-valued Radon measures need not be signed measures.

  7. Electron backscatter diffraction - Wikipedia

    en.wikipedia.org/wiki/Electron_backscatter...

    Conventional Hough transform EBSD and HR-EBSD [84] [98] Conventional EBSD HR-EBSD Absolute orientation 2° N/A: Misorientation 0.1° to 0.5° 0.006° (1×10 −4 rad) GND @ 1 μm step In lines/m 2 (b = 0.3 nm) > 3×10 13 > 3×10 11: Relative residual strain N/A Deviatoric elastic strain 1×10 −4: Example tasks Texture, microstructure, etc ...

  8. Electricity pricing - Wikipedia

    en.wikipedia.org/wiki/Electricity_pricing

    According to the U.S. Energy Information Administration (EIA), "Electricity prices generally reflect the cost to build, finance, maintain, and operate power plants and the electricity grid." Where pricing forecasting is the method by which a generator, a utility company, or a large industrial consumer can predict the wholesale prices of ...

  9. Generalised Hough transform - Wikipedia

    en.wikipedia.org/wiki/Generalised_Hough_transform

    The generalized Hough transform (GHT), introduced by Dana H. Ballard in 1981, is the modification of the Hough transform using the principle of template matching. [1] The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.). In these cases, we have knowledge of the shape and aim to ...