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                      "value": "The local maxima of height >= h and the global maxima. The resulting image is a binary image, where pixels belonging to the determined maxima take value 1, the others take value 0."
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              "value": "Determine all maxima of the image with height >= h."
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                      "value": "The minimal height of all extracted maxima."
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                      "value": "The neighborhood expressed as an n-D array of 1's and 0's. Default is the ball of radius 1 according to the maximum norm (i.e. a 3x3 square for 2D images, a 3x3x3 cube for 3D images, etc.)"
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              "value": "The local maxima are defined as connected sets of pixels with equal gray level strictly greater than the gray level of all pixels in direct neighborhood of the set."
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              "value": "A local maximum M of height h is a local maximum for which there is at least one path joining M with an equal or higher local maximum on which the minimal value is f(M) - h (i.e. the values along the path are not decreasing by more than h with respect to the maximum's value) and no path to an equal or higher local maximum for which the minimal value is greater."
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              "value": "The global maxima of the image are also found by this function."
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        "value": "import numpy as np\nfrom skimage.morphology import extrema\n",
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        "value": "\nWe create an image (quadratic function with a maximum in the center and\n4 additional constant maxima.\nThe heights of the maxima are: 1, 21, 41, 61, 81\n\n"
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        "value": "w = 10\nx, y = np.mgrid[0:w,0:w]\nf = 20 - 0.2*((x - w/2)**2 + (y-w/2)**2)\nf[2:4,2:4] = 40; f[2:4,7:9] = 60; f[7:9,2:4] = 80; f[7:9,7:9] = 100\nf = f.astype(int)\n",
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        "value": "\nWe can calculate all maxima with a height of at least 40:\n\n"
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        "value": "maxima = extrema.h_maxima(f, 40)\n",
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        "value": "\nThe resulting image will contain 3 local maxima."
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  "references": [
    ".. [1] Soille, P., \"Morphological Image Analysis: Principles and",
    "       Applications\" (Chapter 6), 2nd edition (2003), ISBN 3540429883."
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