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

Varování

Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	MAJTNER Tomáš SVOBODA David
Rok publikování	2015
Druh	Software
Fakulta / Pracoviště MU	Fakulta informatiky
www	http://cbia.fi.muni.cz/projects/2d/3d-gabor--2d/3d-mpeg-7-ehd-features.html
Popis	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.
Související projekty:	Development and Study of Methods for Live Cell Quantification Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.