In this article we will see how we can set threshold to the images in mahotas. For this we are going to use the fluorescent microscopy image from a nuclear segmentation benchmark. We can get the image with the help of command given below
Image thresholding is a simple form of image segmentation. It is a way to create a binary image from a grayscale or full-color image. This is typically done in order to separate “object” or foreground pixels from background pixels to aid in image processing.
Below is the nuclear_image
In order to set threshold to the image we will take the image object which is numpy.ndarray and will divide the array with the threshold value, here threshold value is the means value, below is the command to do this
img = (img < img.mean())]
Example 1 :
Example 2 :
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