Preliminary communication

Segmentation of the CT image using self-organizing neural networks

Marko Martinović ; Veleučilište u Slavonskom Brodu, Trg S. Miletića 12, 35000 Slavonski Brod
Antun Stoić ; Veleučilište u Slavonskom Brodu, Trg S. Miletića 12, 35000 Slavonski Brod
Darko Kiš ; Poljoprivredni fakultet u Osijeku, Trg Sv. Trojstva 3, 31000 Osijek

Abstract

A presentation of the segmentation and extraction process of CT (Computed Tomography) images, using self-organizing neural networks has been given. The image features have been used during segmentation process and adopted for each pixel on image. The origin of the features, used in this paper, are the scaled differential-geometrical features which are the entering data for neural network. Neural network, after training, dissipates the pixels into one of the image regions.

Keywords

CT image; features; neural networks; segmentation

Hrčak ID:

31409

URI

https://hrcak.srce.hr/31409

Publication date:

31.12.2008.

Article data in other languages: croatian

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