References
[1]. C. Rambabu T.S., Rathore I., & Chakrabarti, (2003). “A
New Watershed Algorithm Based on Hillclimbing
Technique for Image Segmentation” in Guwahati –
781039, 0-7803-7651- X/03/$17.00 © IEEE.
[2]. S. Beucher, (1990). “Segmentation d'Images et morphologie mathematique” Ph.D. Thesis, Paris School of
Mines, France.
[3]. L. Vincent and P. Soille, (1991). “Watersheds in digital
spaces: An efficient algorithm based on immersion
simulations,” IEEE PAMI, Vol. 13, No. 6, pp. 583–598.
[4]. S. Beucher and F. Meyer, (1993). “The morphological
Approach to segmentation: The watershed ransformation
in Mathematical Morphology”, in Image Processing New
York: Marcel Dekker Inc., pp. 433–481.
[5]. Jos, B.T.M. Roerdink and Arnold Meijster, (2001). “The
Watershed Transform: Definitions, Algorithms and Parallelization
Strategies,” in Fundamental Informatics,
Vol.41. IOS Press, pp. 187–228.
[6]. F. Meyer, (July 1994). “Topographic distance and
watershed lines,” Signal Processing, Vol. 38(1), No. 1, pp.
113- 125. Iris Vanbamel, Joannix Pratikakis, Member IEEE
and Hichem Sahli, Associative Member IEEE, (June 2 0 0 3 )
“Multiscale Gradient Watersheds of Color Images “, in IEEE
Trans. on Image Processing, vol. 12, no. 6.
[7]. P. Salembier and J. Serra. (1992). “Morphological
Multiscale Image Segmentation” in Proc. Visual
Communication and Image Processing, Boston, MA.
[8]. H.J.A.M. Heijmans, (1997). “Composing
Morphological Filters”, IEEE, Vol.6, No.5, pp. 713-723.
[9]. Ghassan Hamarneh , Xiaoxing Li (1 January 2009).
“Watershed segmentation using prior shape and
appearance knowledge” Image and Vision Computing
Vol 27, No 1-2, Pages 59-68 Canadian Robotic Vision
2005 and 2006.
[10]. Yuqian Zhao; Jianxin Liu; Huifen Li; Guiyuan Li;
(2008). “Improved watershed algorithm for dowels Image
segmentation” Intelligent Control and Automation, 2008.
WCICA 2008. 7th World Congress on Digital Object
Identifier: 10.1109/WCICA.2008.4594115 Page(s): 7644 -
7648 IEEE CONFERENCES.
[11]. Shuang Wang; Xiuli Ma; Xiangrong Zhang; Licheng
Jiao (2007). “ Watershedbased textural image
segmentation” Intelligent Signal Processing and
Communication Systems, 2007. ISPACS 2007.
International Symposium on Digital Object Identifier: 10.1109/ISPACS.2007.4445886 Publication Year: ,Page(s):
312 – 315 IEEE CONFERENCES.
[12]. Wenli Yang; Zhiyuan Zeng; Sizhe Zhang; (2010).
“Application of Combining Watershed and Fast Clustering
Method in Image Segmentation“ Computer Modeling
and Simulation.
[13]. ICCMS '10. Second International Conference
Volume : 3 Digital Object Identifier :
10.1109/ICCMS.2010.407, Page(s): 170 – 174 IEEE
Conferences.
[14]. Bieniek, A., & Moga, A. (2000). An efficient watershed algorithm based on connected components.
Pattern Recognition, 33, 907-916.
[15]. Hamarneh, G., & Li, X. (2009). Watershed
segmentation using prior shape and appearance
knowledge. Image and Vision Computing, 27(1-2), 59-68.
[16]. W.F. KUO, & Y.N. SUN, (2010). “Watershed
segmentation with automatic altitude selection and
region merging based on the markov random field
mode”, International Journal of Pattern Recognition and
Artificial Intelligence, Vol. 24, No. 153-171.
