Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 16
Page No. 5710 - 5718

Image Segmentation using Modified Region-Based Active Contour Model

Authors : Ooi Qun Wong and Parvathy Rajendran

References

Arbelaez, P., M. Maire, C. Fowlkes and J. Malik, 2011. Contour detection and hierarchical image segmentation. IEEE. Trans. Pattern Anal. Mach. Intell., 33: 898-916.
CrossRef  |  Direct Link  |  

Benz, U. and G. Schreier, 2001. Definiens imaging GmbH: Object oriented classification and feature detection. IEEE. Geosci. Remote Sens. Soc. Newsl., 9: 16-20.

Blekas, K., A. Likas, N.P. Galatsanos and I.E. Lagaris, 2005. A spatially constrained mixture model for image segmentation. IEEE. Trans. Neural Networks, 16: 494-498.
CrossRef  |  Direct Link  |  

Bregman, L.M., 1967. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. USSR. Comput. Math. Math. Phys., 7: 200-217.
CrossRef  |  Direct Link  |  

Canny, J., 1986. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 8: 679-698.
CrossRef  |  Direct Link  |  

Caselles, V., F. Catt, T. Coll and F. Dibos, 1993. A geometric model for active contours in image processing. Numerische Math., 66: 1-31.
CrossRef  |  

Caselles, V., R. Kimmel and G. Sapiro, 1997. Geodesic active contours. Int. J. Comput. Vision, 22: 61-79.
CrossRef  |  Direct Link  |  

Chan, T.F. and L.A. Vese, 2001. Active contours without edges. IEEE Trans. Image Process., 10: 266-277.
CrossRef  |  Direct Link  |  

Choi, H. and R.G. Baraniuk, 2001. Multiscale image segmentation using wavelet-domain hidden Markov models. IEEE. Trans. Image Process., 10: 1309-1321.
CrossRef  |  Direct Link  |  

Christoudias, C.M., B. Georgescu and P. Meer, 2002. Synergism in low level vision. Proceedings of the International Conference on Object Recognition Supported by User Interaction for Service Robots, August 11-15, 2002, IEEE, Quebec City, Canada, ISBN:0-7695-1695-X, pp: 150-155.

Dharmagunawardhana, C., S. Mahmoodi, M. Bennett and M. Niranjan, 2014. Gaussian Markov random field based improved texture descriptor for image segmentation. Image Vision Comput., 32: 884-895.
CrossRef  |  Direct Link  |  

Duwairi, R. and M. Abu-Rahmeh, 2015. A novel approach for initializing the spherical K-means clustering algorithm. Simul. Modell. Pract. Theor., 54: 49-63.
CrossRef  |  Direct Link  |  

Feng, J., L.C. Jiao, X. Zhang, M. Gong and T. Sun, 2013. Robust non-local fuzzy C-means algorithm with edge preservation for SAR image segmentation. Signal Process., 93: 487-499.
CrossRef  |  Direct Link  |  

Foo, Y.W., C. Goh, H.C. Lim, Z.H. Zhan and Y. Li, 2015. Evolutionary neural network based energy consumption forecast for cloud computing. Proceedings of the 2015 International Conference on Cloud Computing Research and Innovation (ICCCRI), October 26-27, 2015, IEEE, Singapore, ISBN:978-1-5090-0144-6, pp: 53-64.

Frey, B.J. and D. Dueck, 2007. Clustering by passing messages between data points. Science, 315: 972-976.
CrossRef  |  Direct Link  |  

Geman, S. and D. Geman, 1984. Stochastic relaxation, Gibbs distributions and the bayesian restoration of images. IEEE. Trans. Pattern Anal. Mach. Intell., 6: 721-741.
CrossRef  |  PubMed  |  Direct Link  |  

Gonzalez, R.C. and R.E. Woods, 2009. Digital Image Processing. 3rd Edn., Pearson Education, London, England, UK., ISBN:978-81-317-2695-2, Pages: 977.

Grinias, E., 2009. Bayesian flooding for image and video segmentation. Ph.D Thesis, University of Crete, Rethymno, Crete.

Guo, Y., A. Sengur and J. Ye, 2014. A novel image thresholding algorithm based on neutrosophic similarity score. Meas., 58: 175-186.
CrossRef  |  Direct Link  |  

Haixiang, X., C. Wanhua, C. Wei and G. Liyuan, 2008. Performance evaluation of SVM in image segmentation. Proceedings of the 2008 9th International Conference on Signal Processing, October 26-29, 2008, IEEE, Beijing, China, ISBN:978-1-4244-2178-7, pp: 1207-1210.

He, Y., M.Y. Hussaini, J. Maa, B. Shafei and G. Steidl, 2012. A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognit., 45: 3463-3471.
CrossRef  |  Direct Link  |  

Icer, S., 2013. Automatic segmentation of corpus collasum using Gaussian mixture modeling and Fuzzy C means methods. Comput. Methods Programs Biomed., 112: 38-46.
CrossRef  |  PubMed  |  Direct Link  |  

James, C.B., 1981. Pattern Recognition with Fuzzy Objective Function Algorithms. Kluwer Academic Publishers, Berlin, Germany,.

Ji, Z., J. Liu, G. Cao, Q. Sun and Q. Chen, 2014. Robust spatially constrained fuzzy c-means algorithm for brain MR image segmentation. Pattern Recognit., 47: 2454-2466.
CrossRef  |  Direct Link  |  

Ji, Z., Q. Sun, Y. Xia, Q. Chen and D. Xia et al., 2012. Generalized rough fuzzy c-means algorithm for brain MR image segmentation. Comput. Methods Programs Biomed., 108: 644-655.
CrossRef  |  PubMed  |  Direct Link  |  

Ji, Z., Y. Xia, Q. Sun, G. Cao and Q. Chen, 2015. Active contours driven by local likelihood image fitting energy for image segmentation. Inf. Sci., 301: 285-304.
CrossRef  |  Direct Link  |  

Joshi, N. and M. Brady, 2010. Non-parametric mixture model based evolution of level sets and application to medical images. Intl. J. Comput. Vision, 88: 52-68.
CrossRef  |  Direct Link  |  

Jung, C., J. Liu, T. Sun, L. Jiao and Y. Shen, 2014. Automatic image segmentation using constraint learning and propagation. Digital Signal Process., 24: 106-116.
CrossRef  |  Direct Link  |  

Karadag, O.O. and F.T.Y. Vural, 2014. Image segmentation by fusion of low level and domain specific information via Markov Random Fields. Pattern Recognit. Lett., 46: 75-82.
CrossRef  |  Direct Link  |  

Kass, M., A. Witkin and D. Terzopoulos, 1988. Snakes: Active contour models. Int. J. Comput. Vision, 1: 321-331.
CrossRef  |  Direct Link  |  

Kaufman, L. and P.J. Rousseeuw, 2009. Finding Groups in Data: An Introduction to Cluster Analysis. Wily Interscience, New York, USA., Pages: 349.

Krinidis, S. and V. Chatzis, 2010. A robust fuzzy local information C-means clustering algorithm. IEEE Trans. Image Process., 19: 1328-1337.
CrossRef  |  Direct Link  |  

Liapis, S., E. Sifakis and G. Tziritas, 2004. Colour and texture segmentation using wavelet frame analysis, deterministic relaxation and fast marching algorithms. J. Visual Commun. Image Represent., 15: 1-26.
CrossRef  |  Direct Link  |  

Liu, C. and D.B. Rubin, 1995. ML estimation of the t distribution using EM and its extensions, ECM and ECME. Stat. Sin., 5: 19-39.
Direct Link  |  

Matas, J. and J. Kittler, 1995. Spatial and feature space clustering: Applications in image analysis. Proceedings of the International Conference on Computer Analysis of Images and Patterns, September 6-8, 1995, Springer, Berlin, Germany, ISBN:978-3-540-60268-2, pp: 162-173.

Minh, N.T. and Q.M.J. Wu, 2012. Robust student's-t mixture model with spatial constraints and its application in medical image segmentation. Med. Imaging. Trans., 31: 103-116.
CrossRef  |  Direct Link  |  

Mumford, D. and J. Shah, 1989. Optimal approximations by piecewise smooth functions and associated variational problems. Commun. Pure Applied Math., 42: 577-685.
CrossRef  |  Direct Link  |  

Nguyen, T.M., Q.J. Wu, D. Mukherjee and H. Zhang, 2013. A finite mixture model for detail-preserving image segmentation. Signal Process., 93: 3171-3181.
Direct Link  |  

Osher, S. and J.A. Sethian, 1988. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys., 79: 12-49.
CrossRef  |  Direct Link  |  

Osher, S. and R. Fedkiw, 2003. Level Set Methods and Dynamic Implicit Surfaces. 1st Edn., Springer, New York, USA., ISBN:978-0-387-95482-0, Pages: 273.

Panagiotakis, C., I. Grinias and G. Tziritas, 2011. Natural image segmentation based on tree equipartition, bayesian flooding and region merging. IEEE. Trans. Image Process., 20: 2276-2287.
CrossRef  |  Direct Link  |  

Pantofaru, C. and M. Hebert, 2005. A comparison of image segmentation algorithms. Master Thesis, Carnegie Mellon University, Pittsburgh, Pennsylvania.

Peel, D. and G.J. McLachlan, 2000. Robust mixture modelling using the t distribution. Stat. Comput., 10: 339-348.
CrossRef  |  Direct Link  |  

Pham, D.L. and J.L. Prince, 1999. An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognit. Lett., 20: 57-68.
CrossRef  |  Direct Link  |  

Pham, D.L., 2001. Spatial models for fuzzy clustering. Comput. Vision Image Understanding, 84: 285-297.
CrossRef  |  

Qin, C., G. Zhang, Y. Zhou, W. Tao and Z. Cao, 2014. Integration of the saliency-based seed extraction and random walks for image segmentation. Neurocomputing, 129: 378-391.
CrossRef  |  Direct Link  |  

Sethian, J.A., 1999. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision and Materials Science. 2nd Edn., Cambridge University Press, Cambridge, UK., Pages 378.

Sifakis, E., C. Garcia and G. Tziritas, 2002. Bayesian level sets for image segmentation. J. Visual Commun. Image Repr., 13: 44-64.
CrossRef  |  Direct Link  |  

Tran, T.T., V.T. Pham and K.K. Shyu, 2014. Image segmentation using fuzzy energy-based active contour with shape prior. J. Visual Commun. Image Represent., 25: 1732-1745.
CrossRef  |  Direct Link  |  

Vese, L.A. and T.F. Chan, 2002. A multiphase level set framework for image segmentation using the Mumford and Shah model. Int. J. Comput. Vision, 50: 271-293.
CrossRef  |  Direct Link  |  

Wang, H., T.Z. Huang, Z. Xu and Y. Wang, 2014. An active contour model and its algorithms with local and global Gaussian distribution fitting energies. Inf. Sci., 263: 43-59.
CrossRef  |  Direct Link  |  

Wang, X.Y., W.W. Sun, Z.F. Wu, H.Y. Yang and Q.Y. Wang, 2015. Color image segmentation using PDTDFB domain hidden Markov tree model. Appl. Soft Comput., 29: 138-152.
CrossRef  |  Direct Link  |  

Wang, X.Y., X.J. Zhang, H.Y. Yang and J. Bu, 2012. A pixel-based color image segmentation using support vector machine and fuzzy C-means. Neural Networks, 33: 148-159.
CrossRef  |  PubMed  |  Direct Link  |  

Yang, Y., L. Guo, T. Wang, W. Tao and G. Shao et al., 2014. Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph. Image Vision Comput., 32: 87-106.
CrossRef  |  Direct Link  |  

Yang, Y., S. Han, T. Wang, W. Tao and X.C. Tai, 2013. Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognit., 46: 1101-1124.
CrossRef  |  

Yang, Y., Y. Zhao, B. Wu and H. Wang, 2014. A fast multiphase image segmentation model for gray images. Comput. Math. Appl., 67: 1559-1581.
CrossRef  |  Direct Link  |  

Yin, S., X. Zhao, W. Wang and M. Gong, 2014. Efficient multilevel image segmentation through fuzzy entropy maximization and graph cut optimization. Pattern Recognit., 47: 2894-2907.
CrossRef  |  Direct Link  |  

Yoon, Y.G., S.L. Lee, C.W. Chung and S.H. Kim, 2008. An effective defect inspection system for polarized film images using image segmentation and template matching techniques. Comput. Ind. Eng., 55: 567-583.
CrossRef  |  Direct Link  |  

Zhang, Y., W. Zhou, W. Xu and L. Li, 2013. Lymph node image segmentation based on Fuzzy C-means clustering and an improved chan-vese model. Proceedings of the 2013 6th International Congress on Image and Signal Processing (CISP), December 16-18, 2013, IEEE, Hangzhou, China, ISBN:978-1-4799-2764-7, pp: 621-625.

Zhao, F., 2013. Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation. Neurocomputing, 106: 115-125.
CrossRef  |  Direct Link  |  

Zhao, F., H. Liu and J. Fan, 2015. A multiobjective spatial fuzzy clustering algorithm for image segmentation. Appl. Soft Comput., 30: 48-57.
CrossRef  |  Direct Link  |  

Zhao, F., J. Fan and H. Liu, 2014. Optimal-selection-based suppressed fuzzy C-means clustering algorithm with self-tuning non local spatial information for image segmentation. Expert Syst. Appl., 41: 4083-4093.
CrossRef  |  Direct Link  |  

Zhao, F., L. Jiao and H. Liu, 2013. Kernel generalized fuzzy C-means clustering with spatial information for image segmentation. Digital Signal Process., 23: 184-199.
CrossRef  |  Direct Link  |  

Zhou, Y., W.R. Shi, W. Chen, Y.L. Chen and Y. Li et al., 2015. Active contours driven by localizing region and edge-based intensity fitting energy with application to segmentation of the left ventricle in cardiac CT images. Neurocomputing, 156: 199-210.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2022 All Rights Reserved