2D/3D Gabor Features and 2D/3D MPEG-7 EHD Features

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors	MAJTNER Tomáš SVOBODA David
Year of publication	2015
MU Faculty or unit	Faculty of Informatics
Web	http://cbia.fi.muni.cz/projects/2d/3d-gabor--2d/3d-mpeg-7-ehd-features.html
Description	The recognition of patterns with focus on texture and shape analysis is still very hot topic, especially in biomedical image processing. In this article, we introduce 3D extensions of well-known approaches for this particular area. We focus on the collection of MPEG-7 image descriptors, specifically on the Edge Histogram Descriptor (EHD) and Gabor features, which are the core of the Homogeneous Texture Descriptor (HTD). The proposed extensions are evaluated on the dataset consisting of three classes of 3D volumetric biomedical images. Two different classifiers, namely k-NN and Multi-Class SVM, are used to evaluate the proposed algorithms. According to the presented tests, the proposed 3D extensions clearly outperform their 2D equivalents in the classification tasks.
Related projects:	Development and Study of Methods for Live Cell Quantification Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.