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  2. Canny edge detector - Wikipedia

    en.wikipedia.org/wiki/Canny_edge_detector

    The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny also produced a computational theory of edge detection explaining why the technique works.

  3. Sobel operator - Wikipedia

    en.wikipedia.org/wiki/Sobel_operator

    The result of the Sobel–Feldman operator is a 2-dimensional map of the gradient at each point. It can be processed and viewed as though it is itself an image, with the areas of high gradient (the likely edges) visible as white lines. The following images illustrate this, by showing the computation of the Sobel–Feldman operator on a simple ...

  4. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    The Canny–Deriche detector was derived from similar mathematical criteria as the Canny edge detector, although starting from a discrete viewpoint and then leading to a set of recursive filters for image smoothing instead of exponential filters or Gaussian filters.

  5. Image gradient - Wikipedia

    en.wikipedia.org/wiki/Image_gradient

    The pixels with the largest gradient values in the direction of the gradient become edge pixels, and edges may be traced in the direction perpendicular to the gradient direction. One example of an edge detection algorithm that uses gradients is the Canny edge detector. Image gradients can also be used for robust feature and texture matching.

  6. Deriche edge detector - Wikipedia

    en.wikipedia.org/wiki/Deriche_edge_detector

    Deriche edge detector is an edge detection operator developed by Rachid Deriche in 1987. It is a multistep algorithm used to obtain an optimal result of edge detection in a discrete two-dimensional image. This algorithm is based on John F. Canny's work related to the edge detection (Canny's edge detector) and his criteria for optimal edge ...

  7. Outline of object recognition - Wikipedia

    en.wikipedia.org/wiki/Outline_of_object_recognition

    Uses edge detection techniques, such as the Canny edge detection, to find edges. Changes in lighting and color usually don't have much effect on image edges; Strategy: Detect edges in template and image; Compare edges images to find the template; Must consider range of possible template positions; Measurements:

  8. Corner detection - Wikipedia

    en.wikipedia.org/wiki/Corner_detection

    The first corner detection algorithm based on the AST is FAST (features from accelerated segment test). [29] Although r {\displaystyle r} can in principle take any value, FAST uses only a value of 3 (corresponding to a circle of 16 pixels circumference), and tests show that the best results are achieved with n {\displaystyle n} being 9.

  9. Roberts cross - Wikipedia

    en.wikipedia.org/wiki/Roberts_Cross

    It was one of the first edge detectors and was initially proposed by Lawrence Roberts in 1963. [1] As a differential operator , the idea behind the Roberts cross operator is to approximate the gradient of an image through discrete differentiation which is achieved by computing the sum of the squares of the differences between diagonally ...