The seeded region growing algorithm for image segmentation,
proposed by Adams and Bischof [2],
is a completely robust, and easy to execute method.
This method is very effective in machine vision applications,
where the image data vary widely,
as this method is completely dependent on the image composition data.
This method can be easily applied to gray scale images,
and can be extended to color images after suitable choice of color space.