profile-line

profile_line

skimage.measure.profile_line(img, src, dst, linewidth=1, order=1, mode='constant', cval=0.0) [source]

Return the intensity profile of an image measured along a scan line.

Parameters:

img : numeric array, shape (M, N[, C]) The image, either grayscale (2D array) or multichannel (3D array, where the final axis contains the channel information). src : 2-tuple of numeric scalar (float or int) The start point of the scan line. dst : 2-tuple of numeric scalar (float or int) The end point of the scan line. The destination point is included in the profile, in constrast to standard numpy indexing. linewidth : int, optional Width of the scan, perpendicular to the line order : int in {0, 1, 2, 3, 4, 5}, optional The order of the spline interpolation to compute image values at non-integer coordinates. 0 means nearest-neighbor interpolation. mode : {‘constant’, ‘nearest’, ‘reflect’, ‘mirror’, ‘wrap’}, optional How to compute any values falling outside of the image. cval : float, optional If mode is ‘constant’, what constant value to use outside the image.

Returns:

return_value : array The intensity profile along the scan line. The length of the profile is the ceil of the computed length of the scan line.

Examples

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>>> x = np.array([[1, 1, 1, 2, 2, 2]]) >>> img = np.vstack([np.zeros_like(x), x, x, x, np.zeros_like(x)]) >>> img array([[0, 0, 0, 0, 0, 0],        [1, 1, 1, 2, 2, 2],        [1, 1, 1, 2, 2, 2],        [1, 1, 1, 2, 2, 2],        [0, 0, 0, 0, 0, 0]]) >>> profile_line(img, (2, 1), (2, 4)) array([ 1.,  1.,  2.,  2.]) >>> profile_line(img, (1, 0), (1, 6), cval=4) array([ 1.,  1.,  1.,  2.,  2.,  2.,  4.])

The destination point is included in the profile, in contrast to standard numpy indexing. For example: >>> profile_line(img, (1, 0), (1, 6)) # The final point is out of bounds array([ 1., 1., 1., 2., 2., 2., 0.]) >>> profile_line(img, (1, 0), (1, 5)) # This accesses the full first row array([ 1., 1., 1., 2., 2., 2.])