Image.MSER#

Image.MSER(**kwargs: Any) → MSERFeature[source]#

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]], shape=(5, 4), dtype=int32)

References:

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

Seealso:

MSERFeature, cv2.MSER_create