Title :
Seeded region growing
Author :
Adams, Rolf ; Bischof, Leanne
Author_Institution :
Div. of Math. & Stat., CSIRO, North Ryde, NSW, Australia
fDate :
6/1/1994 12:00:00 AM
Abstract :
We present here a new algorithm for segmentation of intensity images which is robust, rapid, and free of tuning parameters. The method, however, requires the input of a number of seeds, either individual pixels or regions, which will control the formation of regions into which the image will be segmented. In this correspondence, we present the algorithm, discuss briefly its properties, and suggest two ways in which it can be employed, namely, by using manual seed selection or by automated procedures
Keywords :
image segmentation; intensity image segmentation; seed selection; seeded region growing; Australia; Filters; Image segmentation; Mathematics; Pixel; Robustness; Statistics; Surface fitting; Surface morphology; Surface topography;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
