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
Famous quotes containing the words region and/or growing:
“It was the most wild and desolate region we had camped in, where, if anywhere, one might expect to meet with befitting inhabitants, but I heard only the squeak of a nighthawk flitting over. The moon in her first quarter, in the fore part of the night, setting over the bare rocky hills garnished with tall, charred, and hollow stumps or shells of trees, served to reveal the desolation.”
—Henry David Thoreau (1817–1862)
“The growing good of the world is partly dependent on unhistoric acts; and that things are not so ill with you and me as they might have been, is half owing to the number who lived faithfully a hidden life, and rest in unvisited tombs.”
—George Eliot [Mary Ann (or Marian)