New efficient image segmentation algorithm: competitive region growing of initial regions

Author

Alakuijala, J. ; Laitinen, J. ; Sallinen, S. ; Helminen, H.

Author_Institution

Varian-Dosetek Oy, Espoo, Finland

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

409

Abstract

Presents a new simple and efficient region growing algorithm and its superior results against the current medical region growing practice. The algorithm uses initial regions and expands them to their natural borders. If all the required regions can be initially enumerated and roughly located the algorithm does not need any control parameters and gives optimal result. The algorithm was designed for both interactive and knowledge-based segmentation of volumetric medical images

Keywords

Gaussian noise; edge detection; image resolution; image segmentation; interactive systems; medical expert systems; medical image processing; unsupervised learning; competitive region growing; efficient image segmentation algorithm; initial regions; interactive segmentation; knowledge-based segmentation; medical region growing practice; natural borders; volumetric medical images; Anisotropic magnetoresistance; Biomedical image processing; Biomedical imaging; Histograms; Image segmentation; Pixel; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575174

Filename

575174