The categorization of medical images according to their modality, anatomic region and view angle is based on texture and statistical features. We use a medical ...

In the field of medical image indexation, automatic categorization provides the means for extracting, otherwise unavailable, information from images.

MEDICAL IMAGE CATEGORIZATION USING A TEXTURE BASED SYMBOLIC. DESCRIPTION. EFlorea, E.Barbu, A.Rogozan, A.Bensrhair. VBuzuloiu. LITIS Laboratory, INSA de Rouen.

Inproceedings,. Medical Image Categorization using a Texture Based Symbolic Description. F. Florea, E. Barbu, ...

... Medical Image Categorization using a Texture based Symbolic Description. 13th International Conference on Image Processing (ICIP'06), 2006, United States ...

The present paper derived a new co-occurrence matrix based on textons and texture orientation for rotation invariant texture classification of 2D images. The ...

Low level colour and texture based feature vectors were extracted to train the network. Both classifiers achieved an accuracy of >95% on the test collections ...

Abstract. Our work is focused on the automatic categorization of medical im- ages according to their visual content for indexing and retrieval purposes in ...

In this paper, we propose a symbolic approach for classification of medical imaging modalities. Texture, appearance, and signal features are extracted from ...

Texture analysis is in principle a technique for evaluating the position and intensity of signal features, ie pixels, and their grey-level intensity in digital ...