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  2. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    Example 1. For each data point, a number of lines are plotted going through it, all at different angles. These are shown here in different colours. The Hough transform accumulates contributions from all pixels in the detected edge. To each line, a support line exists which is perpendicular to it and which intersects the origin. In each case ...

  3. Circle Hough Transform - Wikipedia

    en.wikipedia.org/wiki/Circle_Hough_Transform

    The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix.

  4. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).

  5. Generalised Hough transform - Wikipedia

    en.wikipedia.org/wiki/Generalised_Hough_transform

    (2) Draw a line from the reference point to the boundary (3) Compute ɸ (4) Store the reference point (x c, y c) as a function of ɸ in R(ɸ) table. Detection: (0) Convert the sample shape image into an edge image using any edge detecting algorithm like Canny edge detector. (1) Initialize the Accumulator table: A[x cmin. . . x cmax][y cmin ...

  6. Bundle adjustment - Wikipedia

    en.wikipedia.org/wiki/Bundle_adjustment

    cvsba Archived 2013-10-24 at the Wayback Machine: An OpenCV wrapper for sba library . GPL. ssba: Simple Sparse Bundle Adjustment package based on the Levenberg–Marquardt Algorithm (C++). LGPL. OpenCV: Computer Vision library in the Images stitching module. BSD license. mcba: Multi-Core Bundle Adjustment (CPU/GPU). GPL3.

  7. Kernel (image processing) - Wikipedia

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

    Corner pixels are extended in 90° wedges. Other edge pixels are extended in lines. Wrap The image is conceptually wrapped (or tiled) and values are taken from the opposite edge or corner. Mirror The image is conceptually mirrored at the edges. For example, attempting to read a pixel 3 units outside an edge reads one 3 units inside the edge ...

  8. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

  9. HSL and HSV - Wikipedia

    en.wikipedia.org/wiki/HSL_and_HSV

    Fig. 1. HSL (a–d) and HSV (e–h). Above (a, e): cut-away 3D models of each. Below: two-dimensional plots showing two of a model's three parameters at once, holding the other constant: cylindrical shells (b, f) of constant saturation, in this case the outside surface of each cylinder; horizontal cross-sections (c, g) of constant HSL lightness or HSV value, in this case the slices halfway ...