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Texture analysis has been efficiently utilized in the area of terrain classification. The widely used co-occurrence features have been reported most effective for this application. Since the number of co-occurrence features is very high, a terrain classifier based on co-occurrence features should deal with high dimensionality problem. This paper deals with how to solve high dimensionality problems...
This paper presents a new method for extracting the frontal surface of a fetus automatically from a three-dimensional (3D) fetal ultrasound volume using support vector machine (SVM) based texture classification. Since a fetus often floats on amniotic fluids in its mother's uterus, the major part of the frontal surface may be extracted removing dark regions corresponding to the amniotic fluid regions...
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