We use local features calculated around interest points, which have recently received excellent results for various image recognition and classification tasks.

This paper concentrates on a grayscale radiograph annotation task which was a part of the ImageCLEF 2006. We use local features calculated around interest ...

Nov 1, 2008 · We present an algorithm based on local relational features which is robust with respect to illumination changes.

Abstract. Content based automatic image classification systems are increasingly finding usage, e.g. in large medical image databases. This.

The aim of the radiograph annotation task was to find out how well current image analysis techniques can identify image modality, body orientation, body region, ...

We present an algorithm based on local relational features which is robust with respect to illumination changes. It incorporates the geometric constellation of ...

This paper concentrates on a grayscale radiograph annotation task which was a part of the ImageCLEF 2006. We use local features calculated around interest ...

Grayscale Radiograph Annotation Using Local Relational Features ; Evaluation of Multilingual and Multi-modal Information Retrieval, 7th Workshop of the Cross- ...

We use local features calculated around interest points, which have recently recieved excellent results for various image recognition and classification tasks.

We present an algorithm based on local relational features which is robust with respect to illumination changes. It incorporates the geometric constellation of ...