`skimage.feature.haar:haar_like_feature_coord`

source: /dev/scikit-image/src/skimage/feature/haar.py :33

Signature

def haar_like_feature_coord ( width , height , feature_type = None )

Summary

Compute the coordinates of Haar-like features.

Parameters

width : int

Width of the detection window.

height : int

Height of the detection window.

feature_type : str or list of str or None, optional

The type of feature to consider:

'type-2-x': 2 rectangles varying along the x axis;
'type-2-y': 2 rectangles varying along the y axis;
'type-3-x': 3 rectangles varying along the x axis;
'type-3-y': 3 rectangles varying along the y axis;
'type-4': 4 rectangles varying along x and y axis.

By default all features are extracted.

Returns

feature_coord : (n_features, n_rectangles, 2, 2), ndarray of list of tuple coord: Coordinates of the rectangles for each feature.
feature_type : (n_features,), ndarray of str: The corresponding type for each feature.

Examples

import numpy as np
from skimage.transform import integral_image
from skimage.feature import haar_like_feature_coord
feat_coord, feat_type = haar_like_feature_coord(2, 2, 'type-4')
feat_type

✓

Aliases

skimage.feature.haar_like_feature_coord