drop.improcessing.edge

Module Contents

drop.improcessing.edge.detect_edges(image, method='contour', **kwargs)

Detect the edge of the drop on the image.

Parameters:

image : ndarray

Grayscale image.

method : string, optional

Method for detecting contours. Either ‘contour’ or ‘canny’.

kwargs : dict, optional

Optional arguments passed to filters.

Returns:

results : tuple

(edges, R_edges, Z_edges)

Notes

contour method calls skimage.measure.find_countours. The default level is the average of the max and min intensity values. canny method calls skimage.feature.canny followed by a skeletonization with skimage.morphology.skeletonize.

drop.improcessing.edge.fit_circle_tip(shape, RZ_edges, *, method='ransac', debug=False, **kwargs)

Fit the tip of the drop with a circle.

Parameters:

shape : tuple

Image shape.

RZ_edges : tuple of array

(Radial, Vertical) coordinates of the edge.

method : str, optional

Name of the method: ransac or hough.

debug : boolean, optional

If True, activate plots to visualize the fit.

kwargs : dict, optional

Arguments passed to skimage.measure.ransac.

Returns:

parameters : tuple

(center_Z, center_R, radius)

drop.improcessing.edge.guess_angle(edges, center_Z, center_R)

Guess tilting angle value.

The value is guessed based on the center position of the tip circle and the center of the drop base.

Parameters:

edges : boolean image

Image containing the edges to fit.

center_Z :

Vertical position of tip circle center.

center_R :

Horizontal position of tip circle center.

Returns:

angle : scalar