Abstract
Image segmentation is kernel part of image analysis and processing. Fast and robust portrait segmentation and fusion is still a challenging problem by far. In this paper, we present two fast and robust methods to segment portrait in blue background. One method is threshold obtaining based on histogram peak distribution, the other is Quantum Evolution Algorithm (QEA) threshold searching based on group variance. Detailed experiments and comparison analyses are presented to demonstrate the performance of our methods.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Forsyth, D.A., Ponce, J.: Compute Vision: A Modern Approach. Prentice Hall, Englewood Cliffs (2003)
Lim, Y.W., Lee, S.U.: On the Color Image Segmentation Algorithm Based on the Thresholding and the Fuzzy C-means Techniques. Patten Recognition 23(9), 935–952 (1990)
Chang, M.M., Sezan, M.I., Tekalp, A.M.: Adaptive Bayesian Estimation of Color Images. Electron Imaging 3, 404–414 (1994)
Liu, C.: A Bayesian Discriminating Features Method for Face Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 25(6), 725–740 (2003)
Maio, D., Maltoni, D.: Real-time Face Location on Gray-scale Static Images. Pattern Recognition 33(9), 1525–1539 (2000)
Stan, Z.L., Zhang, Z.: FloatBoost Learning and Statistical Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(9) (2004)
de Dios, J.J., Garcia, N.: Fast face segmentation in component color space. In: International Conference on Image Processing, ICIP, pp. 191–194 (2004)
Kuk-Hyun, H.: Genetic Quantum Algorithm and Its Application to Combinatorial Optimization Problem. Evolutionary Computation Proceeding 2, 1354–1360 (2000)
Otsu, N.A.: Threshold Selection Method from Gray-level Histograms. IEEE-SMC 9(l), 62–66 (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, H., Zhang, D., Yan, J., Li, Z. (2005). Fast and Robust Portrait Segmentation Using QEA and Histogram Peak Distribution Methods. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_95
Download citation
DOI: https://doi.org/10.1007/11538356_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
Online ISBN: 978-3-540-31907-8
eBook Packages: Computer ScienceComputer Science (R0)