Bibliografie

Conference Paper (international conference)

3D Extension of Haralick Texture Features for Medical Image Analysis

Tesař Ludvík, Smutek D., Shimizu A., Kobatake H.

: Proceedings of The Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, p. 350-355

: IASTED International Conference on Signal Processing, Pattern Recognition, and Applications 2007 /4./, (Innsbruck, AT, 14.02.2007-16.02.2007)

: CEZ:AV0Z10750506

: 1ET101050403, GA AV ČR, 1M0572, GA MŠk

: Haralick texture features, 3D image analysis, image segmentation, CT images, Gaussian mixture, model-based decision-making, EM algorithm

(eng): 3D CT image segmentation method is presented, which is aimed at texture-based segmentation of organs or disease diagnosing. The extension of Haralick 2D texture feature to the 3D domain was studied. Calculation of separate co-occurrence matrix for each voxel in the 3D image is performed.

(cze): Prezentována je metoda pro segmentaci 3D CT obrazů, pro texturní segmentaci orgánů nebo diagnózu nemocí založenou na texturách. Bylo studováno rozšíření Haralickových 2D texturních příznaků na 3D obrázky. Pro každý voxel v 3D obrázku se provádí se výpočet vlastní kookurenční matice.

: IN