Abstract
In order to improve performance of artificial neural networks (ANNs) generating texture images, simplified olfactory bionic model (SOBM) to generate texture images is proposed by Zhang in 2008. In this paper, a series of related researches are surveyed. SOBM is introduced from three aspects and texture images with different style are surveyed. Otherwise, SOBM are analyzed synthetically from qualitative and quantitive aspects according to different factors effecting texture images.
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References
Sreedevi, P., Wen-Liang, H., Shawmin, L.: An Examplar-based Approach for Texture Compaction Synthesis and Retrieval. IEEE Transactions on Image Processing 19(5), 1307–1318 (2010)
Wei, L.Y., Levoy, M.: Fast Texture Synthesis Using Tree-structured Vector Quantization. In: SigGraph 2000, pp. 479–488 (2000)
Jiang, J.L., Xue, F., Zheng, J.Y., Huang, Z.: A Fast Algorithm for Solid Texture Generation from 2D Sample. Journal of Computer-aided Design & Computer Graphics 23(8), 1311–1318 (2011)
Wu, X.P., Zhou, H.Q., Feng, H.Q.: The Texture Image Generation Based on Neural Network. Journal of Image and Graphics 5(6), 484–488 (2000)
Zheng, L.Y., Tian, K., Wang, K.J.: The Method of Texture Image Generation Based on Chaotic Mapping. Journal of Image and Graphics 7(10), 1009–1011 (2002)
Bi, X.J., Li, W.X.: A New Method for Texture Image Synthesis. Techniques of Automation and Applications 24(1), 22–24 (2005)
Zhang, J., Li, G., Freeman, W.J.: Algorithm for Texture Image Generation Based on a Bionic Model of Olfactory Neural Networks. Journal of Image and Graphics 13(5), 977–983 (2008)
Zhang, J., Fang, C., Zhao, L.J., Liljenstrom, H.: On Color Texture Generating Based on Simplified KIII Model. In: Proc. of Eighth IEEE/ACIS International Conference on Computer and Information Science, pp. 93–96 (2009)
Zhang, J., Zhu, S.W., Wang, R.L., Li, G., Walter, F.J.: A New Method to Generate Color Texture Images Based on HSV and Olfactory System Bionic Model. In: Proc. of 2009 International Joint Conference on Neural Networks, pp. 1446–1449 (2009)
Fang, C., Zhang, J., Zhu, S., Li, G., Wang, R.: Analysis of Texture Images Generated by Olfactory System Bionic Model. In: Zeng, Z., Wang, J. (eds.) Advances in Neural Network Research and Applications. LNEE, vol. 67, pp. 453–459. Springer, Heidelberg (2010)
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Jin, Z., Yang, D., Yong-jun, L., Ying, W., Ru-long, W. (2012). Survey on Simplified Olfactory Bionic Model to Generate Texture Images. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_39
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DOI: https://doi.org/10.1007/978-3-642-34481-7_39
Publisher Name: Springer, Berlin, Heidelberg
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