Region growing is a simple region-based image segmentation method. It is also classified as a pixel-based image segmentation method since it involves the selection of initial seed points.
This approach to segmentation examines neighboring pixels of initial “seed points” and determines whether the pixel neighbors should be added to the region. The process is iterated on, in the same manner as general data clustering algorithms. A general discussion of the region growing algorithm is described below.
Read more about Region Growing: Region-based Segmentation, Basic Concept of Seed Points, Some Important Issues, Simulation Examples, The Advantages and Disadvantages of Region Growing
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