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. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
Münzenmayer, C., Volk, H., Küblbeck, C., Spinnler, K., & Wittenberg, T. (2002). Multispectral texture analysis using interplane sum- and difference-histograms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2449 LNCS, pp. 42–49). Springer Verlag. https://doi.org/10.1007/3-540-45783-6_6
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