Abstract
In this paper, an integrated geometric active contour model is proposed. It combines the directional information about edge location and topological uniform measure based on Haralick operator as a part of driving force with the improved LBF model (active contours with local binary fitting energy) containing region information and an extra term that reshape the level set function as a signed distance function for further evolution. All these measures are united as a unified framework. Experiment results on real images have shown its performance is much better than the LBC model that hybrids the LBF and C-V model (active contours without edges) when information based on Haralick operator is supplied, for it can extract contour of objects much more precisely.
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References
Kass, M., Witkin, A.: Snakes: Active Contour Models. International Journal of Computer Vision 1(2), 321–331 (1988)
Shang, Y.F., Yan, X., Zhu, L., et al.: Region Competition Based Active Contour for Medical Object Extraction. Computerized Medical Image and Graphics 32, 109–117 (2008)
Xu, C.Y., Prince, J.L.: Gradient Vector Flow: A New External Force for Snakes. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 66–72 (1997)
Cohen, L.: On Active Contour Models and Balloons. Computer Vision. Graphics and Image Processing 53(2), 211–218 (1991)
Caselles, V., Kimmel, R.: Geodesic active contours. International Journal on Computer Vision 1, 61–79 (1997)
Malladi, R., Sethian, J.A., Vemuri, B.C.: Shape Modeling with Front Propagation. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(2), 158–175 (1995)
Freedman, D., Zhang, T.: Active Contours for Tracking Distributions. IEEE Transactions on Image Processing 13(4), 195–206 (2004)
Chan, T.F., Vese, L.A.: Active Contours without Edges. IEEE Transactions on Image Processing 10, 266–277 (2001)
Li, C., Kao, C., Deng, Z., et al.: Implicit Active Contours Driven by Local Binary Fitting Energy. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 1–7 (2007)
Kimmel, R., Bruckstein, A.M.: On Edge Detection, Edge Integration and Geometric Active Contours. In: Proceedings of ISMM, vol. 4, pp. 37–45 (2002)
Kimmel, R., Bruckstein, A.M.: Regularized Laplacian Zero Crossings as Optimal Edge Integrators. International Journal of Computer Vision 43, 224–243 (2003)
Kimmel, R.: Fast Edge Integration. In: Level Set Methods and their Applications in Computer Vision, vol. 3, pp. 1–23. Springer, NY (2003)
Savelonas, M.A., Lakovidis, D.K., Maroulis, D.: LBP-guided Active Contours. Pattern Recognition Letters 29, 1404–1415 (2008)
Li, C.: Active Contours With Local Binary Fitting Energy. In: IMA Workshop on New Mathematics and Algorithms for 3-D Image Analysis (2005)
Wang, L., Li, C., Sun, Q.S., et al.: Active Contours Driven By Local and Global Intensity Fitting Energy with Application T O Brain MR Image Segmentation. Computerized Medical Imaging and Graphics 33, 520–531 (2009)
Li, C., Xu, C., Gui, C., et al.: Level Set Evolution without Re-Initialization: a New Variational Formulation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 430–436. IEEE Press, Los Alamitos (2005)
Wong, W., Chung, A.: Bayesian Image Segmentation Using Local-Intensity Structural Orientation. IEEE Transactions on Image Processing 14(10), 1512–1523 (2005)
Li, C., Kao, C., Gore, J.C., et al.: Minimization of Region-Scalable Fitting Energy for Image Segmentation. IEEE Transactions on Image Processing 17(10), 1940–1949 (2008)
Cremers, D., Kohlberger, T.: Shape Statistics In Kernel Space for Variational Image Segmentation. Pattern Recognition 36(9), 1929–1943 (2003)
Leventon, M., Grimson, E.: Statistical Shape Influence in Geodesic Active Contours. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 316–323. IEEE Press, Los Alamitos (2000)
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Li, C., Li, G., Zheng, Y. (2011). An Integrated Active Contour Model Based on Haralick Operator. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22694-6_41
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DOI: https://doi.org/10.1007/978-3-642-22694-6_41
Publisher Name: Springer, Berlin, Heidelberg
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