Seeded region growing Export

@article{citeulike:1307159, 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}, author = {Adams, R. and Bischof, L.}, citeulike-article-id = {1307159}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=295913}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, number = {6}, pages = {641--647}, posted-at = {2009-04-10 10:22:54}, priority = {2}, title = {Seeded region growing}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=295913}, volume = {16}, year = {1994} }

TY - JOUR ID - citeulike:1307159 L3 - citeulike-article-id:1307159 N2 - 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 IS - 6 JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on EP - 647 TI - Seeded region growing VL - 16 SP - 641 AU - Adams, R AU - Bischof, L PY - 1994/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=295913 ER -