es¶
-
menpo.feature.
es
(pixels, verbose=False)[source]¶ Extracts Edge Structure (ES) features from the input image. The output image has
N * C
number of channels, whereN
is the number of channels of the original image andC = 2
.- Parameters
pixels (
Image
or subclass or(C, X, Y, ..., Z)
ndarray) – Either an image object itself or an array where the first axis represents the number of channels. This means an N-dimensional image is represented by an N+1 dimensional array.verbose (bool, optional) – Flag to print ES related information.
- Returns
es (
Image
or subclass or(X, Y, ..., Z, C)
ndarray) – The ES features image. It has the same type and shape as the inputpixels
. The output number of channels isC = 2
.- Raises
ValueError – Image has to be 2D in order to extract ES features.
References
- 1
T. Cootes, C. Taylor, “On representing edge structure for model matching”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2001.