machinevisiontoolbox.Image.MSER

Image.MSER(**kwargs)

Find MSER features in image

Parameters:

kwargs – arguments passed to opencv.MSER_create

Returns:

set of MSER features

Return type:

MSERFeature

Find all the maximally stable extremal regions in the image and return an object that represents the MSERs found. The object behaves like a list and can be indexed, sliced and used as an iterator in for loops and comprehensions.

Example:

>>> from machinevisiontoolbox import Image
>>> img = Image.Read("castle.png")
>>> mser = img.MSER()
>>> len(mser)  # number of features
899
>>> mser[:5].bbox
array([[   1,    4,  145,   95],
       [   1,  184,  182,  274],
       [1243,  179, 1279,  258],
       [1243,  179, 1279,  258],
       [1242,  178, 1279,  258]], dtype=int32)

References:

• Robotics, Vision & Control for Python, Section 12.1.1.2, P. Corke, Springer 2023.

Seealso:

MSERFeature, cv2.MSER_create