Abstract
In this paper we present a new approach for color texture classification which extends the gray level sum- and difference histogram features [8]. Intra- and inter-plane second order features capture the spatial correlations between color bands. A powerful set of features is obtained by non-linear color space conversion to HSV and thresholding operation to eliminate the influence of sensor noise on color information. We present an evaluation of classification performance using four different image sets.
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Haralick R. M., Shanmugam K., and Dinstein I.: Textural Features for Image Classification. IEEE Transactions on Systems, Man, And Cybernetics, 3(6):610–621, 1973.
Hauta-Kasari M., Parkkinen J., Jaaskelainen T., and Lenz R.: Generalized Cooccurrence Matrix for Multispectral Texture Analysis Proceedings of the 13th International Conference on Pattern Recognition (ICPR), 785–789, 1996.
Jain A. and Healey G.: A Multiscale Representation Including Opponent Color Features for Texture Recognition. IEEE Transactions on Image Processing, 7(1):124–128, 1998.
Lakmann R.: Statistische Modellierung von Farbtexturen. Fölbach, Koblenz, 1998.
Palm C., Metzler V., Mohan B., Dieker O., Lehmann T., and Spitzer K.: Co-Occurrence Matrizen zur Texturklassifikation in Vektorbildern. Bildverarbeitung für die Medizin, Springer, 367–371, 1999.
Panjwani D. K. and Healey G.: Markov Random Field Models for Unsupervised Segmentation of Textured Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(10):939–954, 1995.
Paschos G.: Perceptually Uniform Color Spaces for Color Texture Analysis: An Empirical Evaluation. IEEE Transactions on Image Processing, 10(6):932–937, 2001.
Unser M.: Sum and Difference Histograms for Texture Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(1):118–125, 1986.
MIT Media Laboratory Vision and Modeling group: VisTex database. http://wwwwhite.media.mit.edu/vismod/imagery/VisionTexture
Van de Wouwer G., Scheunders P., Livens S., and Van Dyck D.: Wavelet Correlation Signatures for Color Texture Characerization. Pattern Recognition 32(3):443–451, 1999.
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© 2002 Springer-Verlag Berlin Heidelberg
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Münzenmayer, C., Volk, H., Küblbeck, C., Spinnler, K., Wittenberg, T. (2002). Multispectral Texture Analysis Using Interplane Sum- and Difference-Histograms. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_6
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DOI: https://doi.org/10.1007/3-540-45783-6_6
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