Also kindly illustrate the key terms in the context of its implementation seeds,masks,labels and beta? what are these terms and what does they represent?
A random walk is a mathematical formalization used for describing a path that consists of a succession of random steps. In the context of image processing, random walker algorithms are considered supervised algorithms because the user has to provide a partial labelling of the image (or seed) and are commonly used for image segmentation. This method (1) treat the image as a graph and (2) minimize certain energy functionals on this graph to produce a segmentation.
I attach you some references for a more detailed specification of the specified terms.
Conference Paper Multilabel Random Walker Image Segmentation Using Prior Models
Conference Paper A Seeded Image Segmentation Framework Unifying Graph Cuts An...
A random walk is a mathematical formalization used for describing a path that consists of a succession of random steps. In the context of image processing, random walker algorithms are considered supervised algorithms because the user has to provide a partial labelling of the image (or seed) and are commonly used for image segmentation. This method (1) treat the image as a graph and (2) minimize certain energy functionals on this graph to produce a segmentation.
I attach you some references for a more detailed specification of the specified terms.
Conference Paper Multilabel Random Walker Image Segmentation Using Prior Models
Conference Paper A Seeded Image Segmentation Framework Unifying Graph Cuts An...
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