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  2. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    e. Edge detection includes a variety of mathematical methods that aim at identifying edges, defined as curves in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The same problem of finding discontinuities in one-dimensional signals is known as step detection and the problem of finding signal ...

  3. Boundary problem (spatial analysis) - Wikipedia

    en.wikipedia.org/wiki/Boundary_problem_(spatial...

    The first is an edge effect. [13] This effect originates from the ignorance of interdependences that occur outside the bounded region. [13] Griffith [14] [8] and Griffith and Amrhein [15] highlighted problems according to the edge effect. A typical example is a cross-boundary influence such as cross-border jobs, services and other resources ...

  4. Canny edge detector - Wikipedia

    en.wikipedia.org/wiki/Canny_edge_detector

    For the gradient amplitude calculation, the old Canny edge detection algorithm uses the center in a small 2×2 neighborhood window to calculate the finite difference mean value to represent the gradient amplitude. This method is sensitive to noise and can easily detect false edges and lose real edges.

  5. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    Kernel (image processing) In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including ...

  6. Harris and Trump deadlocked in Pennsylvania as former ... - AOL

    www.aol.com/news/harris-trump-deadlocked...

    gop sens call on schumer, dems to take up border bills as they tout immigration vigilance A new poll shows former President Trump and Vice President Harris tied in battleground Pennsylvania.

  7. Sobel operator - Wikipedia

    en.wikipedia.org/wiki/Sobel_operator

    The Sobel operator, sometimes called the Sobel–Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge detection algorithms where it creates an image emphasising edges. It is named after Irwin Sobel and Gary M. Feldman, colleagues at the Stanford Artificial Intelligence Laboratory (SAIL).

  8. Ordered dithering - Wikipedia

    en.wikipedia.org/wiki/Ordered_dithering

    Ordered dithering is any image dithering algorithm which uses a pre-set threshold map tiled across an image. It is commonly used to display a continuous image on a display of smaller color depth. For example, Microsoft Windows uses it in 16-color graphics modes. The algorithm is characterized by noticeable crosshatch patterns in the result.

  9. Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Mandelbrot_set

    The Mandelbrot set (/ ˈmændəlbroʊt, - brɒt /) [1][2] is a two-dimensional set with a relatively simple definition that exhibits great complexity, especially as it is magnified. It is popular for its aesthetic appeal and fractal structures. The set is defined in the complex plane as the complex numbers for which the function does not ...