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.