Image Segmentation Using Suprathreshold Stochastic Resonance
In this paper a new concept of partial complement of a graph G is introduced and using the same a new graph parameter, called completion number of a graph G, denoted by c(G) is defined. Some basic properties of graph parameter, completion number, are studied and upperbounds for completion number of classes of graphs are obtained , the paper includes the characterization also.
[1] R. C. Gonzales and R. E. Woods, "Digital Image Processing," Reading,
MA: Addison Wesley, 1992.
[2] H. D. Cheng, X. H. Jiang, Y. Sun and J. Wang, "Color image segmenta-
tion: Advances and prospects," Journal of Pattern Reconition, vol. 34,
pp. 2259-2281, 2001.
[3] A. W. Liew, H. Yan and N. F. Law, "Image segmentation based on
adaptive cluster prototype estimation," IEEE Trans. Fuzzy Syst., vol. 13,
no. 4, pp. 444-453, 2005.
[4] N. R. Pal and S. K. Pal, "A review on image segmentation techniques,"
Pattern Recognition, vol. 26, no. 9, pp. 1277-1294, 1993.
[5] J. Bruce, T. Balch and M. Veloso, "Fast and Inexpensive Color Image
Segmentation for Interactive Robots," in Proc. IEEE/RSJ Intl Conf.
Intelligent Robots and Systems, 2000.
[6] W. N Lie, "Automatic target segmentation by locally adaptive image
thresholding," IEEE Trans. Image Processing, vol. 4, no. 7, pp. 1036-
1041, July 1995.
[7] Z. Wasik and A. Saffiotti, "Robust Color Segmentation for the RoboCup
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2, pp. 651-654, 2002.
[8] Jia Li , James Z. Wang , Gio Wiedehold, "IRM: integrated region
matching for image retrieval," Processings of the eighth ACM inter-
national conference on Multimedia, Marina del Rey, California, United
States, pp. 147-156, October 2000.
[9] Sittichote Janpaiboon and Sanya Mitaim, "Adaptive Stochastic Reso-
nance in Color Object Segmentation," IEEE International Joint Confer-
ence on neural Networks, vol. 1, pp. 2508-2515, 2006.
[10] J. B. T. M. Roerdink and A. Meijster, "The watershed transform:
definitions, algorithms, and parallelization strategies," In Fundamenta
Informaticae, vol. 41, pp. 187-228, 2000.
[11] Kyung-Seok SEO, Chang-Joon PARK, Sang-Hyun CHOİ Heung-Moon
CHOI, "Context-Free Marker-Controlled Watershed Transform for Ef-
ficient Multi-Object Detection and Segmentation," Publication IEICE
TRANSACTIONS on Fundamentals of Electronics, Communications and
Computer Sciences, vol. E84-A, no.6, pp. 1392-1400, 2001.
[12] Ruey-Ming Chao, Hsien-Chu Wu, Zi-Chun Chen, "Image segmentation
by automatic histogram thresholding," in Proceedings of the 2nd Inter-
national Conference on Interaction Sciences: Information Technology,
Culture and Human, pp. 136-141, November 24-26, 2009, Seoul, Korea.
[13] http://www.flickr.com/photos/80327698@N00/3166736209/
[1] R. C. Gonzales and R. E. Woods, "Digital Image Processing," Reading,
MA: Addison Wesley, 1992.
[2] H. D. Cheng, X. H. Jiang, Y. Sun and J. Wang, "Color image segmenta-
tion: Advances and prospects," Journal of Pattern Reconition, vol. 34,
pp. 2259-2281, 2001.
[3] A. W. Liew, H. Yan and N. F. Law, "Image segmentation based on
adaptive cluster prototype estimation," IEEE Trans. Fuzzy Syst., vol. 13,
no. 4, pp. 444-453, 2005.
[4] N. R. Pal and S. K. Pal, "A review on image segmentation techniques,"
Pattern Recognition, vol. 26, no. 9, pp. 1277-1294, 1993.
[5] J. Bruce, T. Balch and M. Veloso, "Fast and Inexpensive Color Image
Segmentation for Interactive Robots," in Proc. IEEE/RSJ Intl Conf.
Intelligent Robots and Systems, 2000.
[6] W. N Lie, "Automatic target segmentation by locally adaptive image
thresholding," IEEE Trans. Image Processing, vol. 4, no. 7, pp. 1036-
1041, July 1995.
[7] Z. Wasik and A. Saffiotti, "Robust Color Segmentation for the RoboCup
Domain," in 16th International Conference on Pattern Recognition, vol.
2, pp. 651-654, 2002.
[8] Jia Li , James Z. Wang , Gio Wiedehold, "IRM: integrated region
matching for image retrieval," Processings of the eighth ACM inter-
national conference on Multimedia, Marina del Rey, California, United
States, pp. 147-156, October 2000.
[9] Sittichote Janpaiboon and Sanya Mitaim, "Adaptive Stochastic Reso-
nance in Color Object Segmentation," IEEE International Joint Confer-
ence on neural Networks, vol. 1, pp. 2508-2515, 2006.
[10] J. B. T. M. Roerdink and A. Meijster, "The watershed transform:
definitions, algorithms, and parallelization strategies," In Fundamenta
Informaticae, vol. 41, pp. 187-228, 2000.
[11] Kyung-Seok SEO, Chang-Joon PARK, Sang-Hyun CHOİ Heung-Moon
CHOI, "Context-Free Marker-Controlled Watershed Transform for Ef-
ficient Multi-Object Detection and Segmentation," Publication IEICE
TRANSACTIONS on Fundamentals of Electronics, Communications and
Computer Sciences, vol. E84-A, no.6, pp. 1392-1400, 2001.
[12] Ruey-Ming Chao, Hsien-Chu Wu, Zi-Chun Chen, "Image segmentation
by automatic histogram thresholding," in Proceedings of the 2nd Inter-
national Conference on Interaction Sciences: Information Technology,
Culture and Human, pp. 136-141, November 24-26, 2009, Seoul, Korea.
[13] http://www.flickr.com/photos/80327698@N00/3166736209/
@article{"International Journal of Electrical, Electronic and Communication Sciences:57962", author = "Rajib Kumar Jha and P.K.Biswas and B.N.Chatterji", title = "Image Segmentation Using Suprathreshold Stochastic Resonance", abstract = "In this paper a new concept of partial complement of a graph G is introduced and using the same a new graph parameter, called completion number of a graph G, denoted by c(G) is defined. Some basic properties of graph parameter, completion number, are studied and upperbounds for completion number of classes of graphs are obtained , the paper includes the characterization also.
", keywords = "Completion Number,Maximum Independent subset, Partial complements, Partial self complementary.", volume = "4", number = "12", pages = "1814-15", }
