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                      "value": "Shi-Tomasi response image."
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              "value": "Compute Shi-Tomasi (Kanade-Tomasi) corner measure response image."
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          ]
        }
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                      "value": "Standard deviation used for the Gaussian kernel, which is used as weighting function for the auto-correlation matrix."
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              "value": "This corner detector uses information from the auto-correlation matrix A      "
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          "value": "A = [(imx**2)   (imx*imy)] = [Axx Axy]\n    [(imx*imy)   (imy**2)]   [Axy Ayy]",
          "execution_status": null
        },
        {
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          "children": [
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              "value": "Where imx and imy are first derivatives, averaged with a gaussian filter. The corner measure is then defined as the smaller eigenvalue of A      "
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          ]
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        {
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          "value": "((Axx + Ayy) - sqrt((Axx - Ayy)**2 + 4 * Axy**2)) / 2",
          "execution_status": null
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  "item_file": "/dev/scikit-image/src/skimage/feature/corner.py",
  "item_line": 733,
  "item_type": "function",
  "aliases": [
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      {
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        "value": "from skimage.feature import corner_shi_tomasi, corner_peaks\nsquare = np.zeros([10, 10])\nsquare[2:8, 2:8] = 1\nsquare.astype(int)\ncorner_peaks(corner_shi_tomasi(square), min_distance=1)\n",
        "execution_status": "success"
      }
    ],
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    "return_annotation": {
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    "target_name": "corner_shi_tomasi"
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  "references": [
    ".. [1] https://en.wikipedia.org/wiki/Corner_detection"
  ],
  "qa": "skimage.feature.corner:corner_shi_tomasi",
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  "local_refs": [
    "image",
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