April 2020
Intermediate to advanced
438 pages
12h 2m
English
RandomWalk segmentation is an interactive, multilabel image-segmentation method. It starts with a few seed pixels with user-defined labels and then, for each unlabeled pixel, the probability that a random walker starting at that particular pixel will first reach one of the prelabeled pixels is computed. Then the unlabeled pixel is assigned the label corresponding to the higher of the probability values (denoting the probability of reaching first). This results in a high-quality image segmentation. The following figure describes the algorithm steps:

In this recipe, you will learn how to use the scikit-image ...
Read now
Unlock full access