Romanian Journal of Information Technology and Automatic Control / Vol. 21, No. 2, 2011

Advanced Technologies in Processing Biomedical Images Using Shape Recognition Algorithms Case Study: Liver Disorders

Dragoş NICOLAU, Dragoş BARBU, Laura CIOCOIU, Dragoş SMADA

Abstract:

This paper presents an interactive system based on algorithms for analysis, segmentation and recognition of organs obtained from magnetic resonance images (MRI), ultrasounds (US) or computed tomography (CT). The purpose of image segmentation is to group clusters of pixels in the continuous regions, for example, regions corresponding to individual surfaces, natural objects or parts of objects. Segmentation is used for recognition bodies, viewed as objects, estimating the limits of encounter between organs or systems în case of motion or stereo systems of images compression, image editing, or the search for images în databases.

Keywords:
analysis, medical image, image segmentation, compression, reconstruction.

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CITE THIS PAPER AS:
Dragoş NICOLAU, Dragoş BARBU, Laura CIOCOIU, Dragoş SMADA, "Advanced Technologies in Processing Biomedical Images Using Shape Recognition Algorithms Case Study: Liver Disorders", Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 21(2), pp. 57-70, 2011.