a4804a43925bfa0fb58935344adfdd862a6ec889,skimage/filters/thresholding.py,,_mean_std,#Any#Any#,727

Before Change

    I = integral_image(image)  // Integral Image.

    // Pad left and top of Integral image with zeros
    I = np.vstack((np.zeros((1, I.shape[1]), I.dtype), I))
    I = np.hstack((np.zeros((I.shape[0], 1), I.dtype), I))

    kern = np.zeros((w + 1, w + 1))
    kern[0, 0], kern[-1, -1] = 1, 1
    kern[[0, -1], [-1, 0]] = -1

After Change

    integrated = integral_image(image)  // Integral Image.

    // Pad left and top of Integral image with zeros
    integrated = np.pad(integrated, 1, mode="constant")[:-1,:-1]

    kern = np.zeros((w + 1, w + 1))
    kern[0, 0] = 1
    kern[-1, -1] = 1

Instances