Image Segmentation Using Suprathreshold Stochastic Resonance
Autor: | Rajib Kumar Jha, P.K.Biswas, B.N.Chatterji |
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Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: | |
DOI: | 10.5281/zenodo.1071733 |
Popis: | 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. {"references":["R. C. Gonzales and R. E. Woods, \"Digital Image Processing,\" Reading,\nMA: Addison Wesley, 1992.","H. D. Cheng, X. H. Jiang, Y. Sun and J. Wang, \"Color image segmenta-\ntion: Advances and prospects,\" Journal of Pattern Reconition, vol. 34,\npp. 2259-2281, 2001.","A. W. Liew, H. Yan and N. F. Law, \"Image segmentation based on \nadaptive cluster prototype estimation,\" IEEE Trans. Fuzzy Syst., vol. 13,\nno. 4, pp. 444-453, 2005.","N. R. Pal and S. K. Pal, \"A review on image segmentation techniques,\"\nPattern Recognition, vol. 26, no. 9, pp. 1277-1294, 1993.","J. Bruce, T. Balch and M. Veloso, \"Fast and Inexpensive Color Image\nSegmentation for Interactive Robots,\" in Proc. IEEE/RSJ Intl Conf.\nIntelligent Robots and Systems, 2000.","W. N Lie, \"Automatic target segmentation by locally adaptive image\nthresholding,\" IEEE Trans. Image Processing, vol. 4, no. 7, pp. 1036-\n1041, July 1995.","Z. Wasik and A. Saffiotti, \"Robust Color Segmentation for the RoboCup\nDomain,\" in 16th International Conference on Pattern Recognition, vol.\n2, pp. 651-654, 2002.","Jia Li , James Z. Wang , Gio Wiedehold, \"IRM: integrated region\nmatching for image retrieval,\" Processings of the eighth ACM inter-\nnational conference on Multimedia, Marina del Rey, California, United\nStates, pp. 147-156, October 2000.","Sittichote Janpaiboon and Sanya Mitaim, \"Adaptive Stochastic Reso-\nnance in Color Object Segmentation,\" IEEE International Joint Confer-\nence on neural Networks, vol. 1, pp. 2508-2515, 2006.\n[10] J. B. T. M. Roerdink and A. Meijster, \"The watershed transform:\ndefinitions, algorithms, and parallelization strategies,\" In Fundamenta\nInformaticae, vol. 41, pp. 187-228, 2000.\n[11] Kyung-Seok SEO, Chang-Joon PARK, Sang-Hyun CHOİ Heung-Moon\nCHOI, \"Context-Free Marker-Controlled Watershed Transform for Ef-\nficient Multi-Object Detection and Segmentation,\" Publication IEICE\nTRANSACTIONS on Fundamentals of Electronics, Communications and \nComputer Sciences, vol. E84-A, no.6, pp. 1392-1400, 2001. \n[12] Ruey-Ming Chao, Hsien-Chu Wu, Zi-Chun Chen, \"Image segmentation \nby automatic histogram thresholding,\" in Proceedings of the 2nd Inter-\nnational Conference on Interaction Sciences: Information Technology,\nCulture and Human, pp. 136-141, November 24-26, 2009, Seoul, Korea.\n[13] http://www.flickr.com/photos/80327698@N00/3166736209/"]} |
Databáze: | OpenAIRE |
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