Abstract
In this paper, the spatial distributions of pigments in foliage which lead to color variation are separated by independent component analysis (ICA) from a single leaf color image. The results can be applied to the reproduction of leaf color, the diagnosis of leaf disease, and leaf texture synthesis. Our results shows that the components of pigments which are different color influential factor are separated from leaf color image. We use images to demonstrate results and show how each component of pigment affects the leaf color.
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References
Martin, D.P., Rybicki, E.P.: Microcomputer-based quantification of maize streak virus symptoms in Zea mays. Phytopathology 88, 422–427 (1998)
Chen, N., Hsiang, T.H., Goodwin, P.H.: Use of green fluorescent protein to quantify the growth of Colletotrichum during infection of tobacco. J. Microbiol. Methods 53, 113–122 (2003)
Schaberg, P.G., Van Den Berg, A.K., Murakami, P.F., Shane, J.B., Donnelly, J.R.: Factors influencing red expression in autumn foliage of sugar maple trees. Tree Physiol. 23, 325–333 (2003)
Murakami, P.F., Turner, M.R., Van den Berg, A.K., Schaberg, P.G.: An instructionalguide for leaf color analysis using digital imaging software. United States Department of Agriculture Publication. Tech. Rep. NE-327 (2005)
El-Helly, M., El-Beltagy, S., Rafea, A.: Image analysis based interface for diagnosticexpert systems. In: Proceedings of the Winter international synposium on information and Communication Technologies, pp. 1–6. Trinity College, Dublin (2004)
Desbeoint, B., Galin, E., Akkouche, S., Grosjean, J.: Modeling autumn sceneries Eurographics 2006 Conference, Short Papers Proceedings, Vienna, Austria. pp. 107–110 (2006)
Mochizuki, S., Cai, D., Komori, T., Kimura, H., Hori, R.: Virtual autumn coloring system based on biological and fractal model. In: Pacific Graphics 2001 Computer Graphics and Applications, pp.348–354 (2001)
Wang, L.F., Wang, W.L., Dorsey, J., Yang, X., Guo, B.N., Shum, H.Y.: Real-Time Rendering of Plant Leaves. ACM Tran. On Graphics 24, 712–719 (2005)
Mochizuki, S., Horie, D., Cai, D.S.: Stealing Autumn Colors. In: ACM SIGGRAPH 2005 (2005)
Bell, A., Sejnowski, T.: The independent components of nature scenes are edge filters. Vision Research 37, 3327–3338 (1997)
Lewicki, M., Olshausen, B.: Inferring sparse, overcomplete image codes using an efficient coding framework. In: Advances in Neural Information Processing Systems, vol. 10, pp. 556–562 (1998)
Li, Y., Chi, Z.R., Feng, D.: Leaf vein extraction using independent component analysis. In: 2006 IEEE International Conference on Systems, Man and Cybernetics, pp. 8–11 (2006)
Inoue, T., Fujii, Y., Itoh, K., et al.: Independent component analysis for a small number of elements in high-dimensional space. In: Proceedings of Japan Optics 1995, pp. 105–106 (1995)
Tsumura, N., Haneishi, H., Miyake, Y.: Independent component analysis of skin color image. Journal of Optical Society of America A 16(9), 2169–2176 (1999)
Tsumura, N., Ojima, N., Sato, K., Shiraishi, M., Shimizu, H., Nabeshima, H., Akazaki, S., Hori, K., Miyake, Y.: Image-based skin color and texture analysis/ synthesis by extracting hemoglobin and melanin information in the skin. ACM Transactions on Graphics 22, 770–779 (2003)
Comon, P.: Independent component analysis - a new concept? Signal Processing 36, 287–314 (1994)
Park, W.B., Ryu, E., Song, Y.J.: Visual feature extraction under wavelet domain for image retrieval. Key Engineering Materials 277, 206–211 (2005)
Lee, T.W., Lewicki, M.: Unsupervised Image Classification, Segmentation and Enhancement Using ICA Mixture Models. IEEE Transactions on Image Processing 11, 270–279 (2002)
Hyvarinen, A., Hoyer, P., Hurri, J.: Extensions of ICA as Models of Natural Images and Visual Processing. In: 4th International Symposium on Independent Component Analysis and Blind Signal Separation, Nara, Japan, pp. 963–974 (2003)
Xue, S., Wang, J.P., Tong, X., Dai, Q.H., Guo, B.N.: Image-based Material Weathering. In: Eurographics 2008, Computer Graphics Forum, vol. 27 (2008)
Tappen, M.F., Freeman, W.T., Adelson, E.H.: Recovering Intrinsic Images from a Single Image. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(9), 1459–1472 (2005)
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Tian, Y., Zhao, C., Lu, S., Guo, X. (2010). Separating Pigment Components of Leaf Color Image Using FastICA. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_53
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DOI: https://doi.org/10.1007/978-3-642-14922-1_53
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