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                      "value": "Minimum number of consecutive pixels out of 16 pixels on the circle that should all be either brighter or darker w.r.t testpixel. A point c on the circle is darker w.r.t test pixel p if "
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                      "value": ". Also stands for the n in "
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                      "value": "Threshold used in deciding whether the pixels on the circle are brighter, darker or similar w.r.t. the test pixel. Decrease the threshold when more corners are desired and vice-versa."
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        "value": "from skimage.feature import corner_fast, corner_peaks\nsquare = np.zeros((12, 12))\nsquare[3:9, 3:9] = 1\nsquare.astype(int)\ncorner_peaks(corner_fast(square, 9), min_distance=1)\n",
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    "return_annotation": {
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    },
    "target_name": "corner_fast"
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  "references": [
    ".. [1] Rosten, E., & Drummond, T. (2006, May). Machine learning for",
    "       high-speed corner detection. In European conference on computer",
    "       vision (pp. 430-443). Springer, Berlin, Heidelberg.",
    "       :DOI:`10.1007/11744023_34`",
    "       http://www.edwardrosten.com/work/rosten_2006_machine.pdf",
    ".. [2] Wikipedia, \"Features from accelerated segment test\",",
    "       https://en.wikipedia.org/wiki/Features_from_accelerated_segment_test"
  ],
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