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  2. Jump point search - Wikipedia

    en.wikipedia.org/wiki/Jump_point_search

    In computer science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means of graph pruning, [1] eliminating certain nodes in the grid based on assumptions that can be made about the current node's neighbors, as long as certain conditions relating to the grid are satisfied.

  3. Any-angle path planning - Wikipedia

    en.wikipedia.org/wiki/Any-angle_path_planning

    The advantage is that all optimizations of grid A* like jump point search will apply. A visibility graph with all the grid points can be searched with A* for the optimal solution in 2D space. However, the performance is problematic since the number of edges in a graph with V {\displaystyle V} vertices is O ( V 2 ) {\displaystyle O(V^{2})} .

  4. Flood fill - Wikipedia

    en.wikipedia.org/wiki/Flood_fill

    The first published complete example works on the following basic principle. [1] Starting with a seed point, fill left and right. Keep track of the leftmost filled point lx and rightmost filled point rx. This defines the span. Scan from lx to rx above and below the seed point, searching for new seed points to continue with.

  5. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    ImageJ – Image processing application developed at the National Institutes of Health; IMOD – 2D and 3D analysis of electron microscopy data; ITK – Development framework used for creation of image segmentation and registration programs; KNIME – Data analytics, reporting, and integration platform; VTK – C++ toolkit for 3D computer ...

  6. Connected-component labeling - Wikipedia

    en.wikipedia.org/wiki/Connected-component_labeling

    Scan the image (in the following example, it is assumed that scanning is done from left to right and from top to bottom): For every pixel check the north and west pixel (when considering 4- connectivity ) or the northeast , north , northwest , and west pixel for 8-connectivity for a given region criterion (i.e. intensity value of 1 in binary ...

  7. Point Cloud Library - Wikipedia

    en.wikipedia.org/wiki/Point_Cloud_Library

    The Point Cloud Library (PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur in three-dimensional computer vision. The library contains algorithms for filtering, feature estimation, surface reconstruction, 3D registration , [ 5 ] model fitting , object recognition , and ...

  8. Local binary patterns - Wikipedia

    en.wikipedia.org/wiki/Local_binary_patterns

    This idea is motivated by the fact that some binary patterns occur more commonly in texture images than others. A local binary pattern is called uniform if the binary pattern contains at most two 0-1 or 1-0 transitions. For example, 00010000 (2 transitions) is a uniform pattern, but 01010100 (6 transitions) is not.

  9. Iterative closest point - Wikipedia

    en.wikipedia.org/wiki/Iterative_Closest_Point

    CloudCompare an open source point and model processing tool that includes an implementation of the ICP algorithm. Released under the GNU General Public License. PCL (Point Cloud Library) is an open-source framework for n-dimensional point clouds and 3D geometry processing. It includes several variants of the ICP algorithm.