Mahotas – Regional Minima of Image
In this article we will see how we can get regional minima of image in mahotas. Regional minima is a stricter criterion than the local minima as it takes the whole object into account and not just the neighborhood. Minima are connected components of pixels with a constant intensity value, surrounded by pixels with a higher value.
In this tutorial we will use “lena” image, below is the command to load it.
Below is the lena image
In order to do this we will use mahotas.regmin method
Syntax : mahotas.regmin(img)
Argument : It takes image object as argument
Return : It returns image object
Note : Input image should be filtered or should be loaded as grey
In order to filter the image we will take the image object which is numpy.ndarray and filter it with the help of indexing, below is the command to do this
image = image[:, :, 0]
Below is the implementation
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