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  2. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    One limitation of the Otsu’s method is that it cannot segment weak objects as the method searches for a single threshold to separate an image into two classes, namely, foreground and background, in one shot. Because the Otsu’s method looks to segment an image with one threshold, it tends to bias toward the class with the large variance. [14]

  3. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    Instance segmentation is an approach that identifies, for every pixel, the specific belonging instance of the object. It detects each distinct object of interest in the image. [19] For example, when each person in a figure is segmented as an individual object. Panoptic segmentation combines both semantic and instance segmentation. Like semantic ...

  4. Watershed (image processing) - Wikipedia

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

    The random walker algorithm is a segmentation algorithm solving the combinatorial Dirichlet problem, adapted to image segmentation by L. Grady in 2006. [16] In 2011, C. Couprie et al. proved that when the power of the weights of the graph converge toward infinity, the cut minimizing the random walker energy is a cut by maximum spanning forest. [17]

  5. Split and merge segmentation - Wikipedia

    en.wikipedia.org/wiki/Split_and_merge_segmentation

    Split and merge segmentation is an image processing technique used to segment an image. The image is successively split into quadrants based on a homogeneity criterion and similar regions are merged to create the segmented result. The technique incorporates a quadtree data structure, meaning that there is a parent-child node relationship. The ...

  6. Region growing - Wikipedia

    en.wikipedia.org/wiki/Region_growing

    Region growing is a simple region-based image segmentation method. It is also classified as a pixel-based image segmentation method since it involves the selection of initial seed points. This approach to segmentation examines neighboring pixels of initial seed points and determines whether the pixel neighbors should be added to the region.

  7. Maximally stable extremal regions - Wikipedia

    en.wikipedia.org/wiki/Maximally_stable_extremal...

    In computer vision, maximally stable extremal regions (MSER) technique is used as a method of blob detection in images. This technique was proposed by Matas et al. [1] to find correspondences between image elements taken from two images with different viewpoints.

  8. The 12 Best Mediterranean Diet Foods on a Budget, According ...

    www.aol.com/12-best-mediterranean-diet-foods...

    Reviewed by Dietitian Alyssa Pike, RDN. When it comes to eating healthy, flexibility is key to making new habits stick long-term. Part of the reason the Mediterranean diet is so highly regarded is ...

  9. Bresenham's line algorithm - Wikipedia

    en.wikipedia.org/wiki/Bresenham's_line_algorithm

    The starting point is on the line (,) =only because the line is defined to start and end on integer coordinates (though it is entirely reasonable to want to draw a line with non-integer end points).