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Lately, 3D imaging techniques have achieved a lot of progress due to recent developments in 3D sensor technologies. This leads to a great interest regarding 3D image feature extraction and classification techniques. As pointed out in literature, one of the most important and discriminative features in images is the textural content. Within this context, we propose a texture feature extraction technique for volumetric images with improved discrimination power. The method could be used indoi:10.3390/app11052332 doaj:e30fcd6bcf36473abbe35ba5f61314e0 fatcat:sdyqucblfnevdaoexudgne6gt4