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Development of Medical Images Series Segmentation Technique Using Active Contours Models | ||
| AL-MANSOUR JOURNAL | ||
| Article 1, Volume 0, Issue 15, 2017, Pages 69-88 | ||
| Authors | ||
| Abdul Monem S. Rahma; I. A. Alwan | ||
| Abstract | ||
| Image segmentation, is one of the most important problems in computer vision and image processing. As a high-level technique for boundary identification, active contours are used extensively for segmentation purposes. Active contours or Snakes are curves defined in the image domain that can move under the influence of internal forces within the curve itself and external forces derived from the image data. In this research the Gradient Vector Flow (GVF snake) was used for the segmentation of brain tumor images. We used Magnetic Resonance image (MRI) dataset for our experiments. The results show that GVF snake is one of the most effective solutions for the problems of the traditional model of active contours. GVF provides a good capture rang and a good convergence; there fore; Good results are obtained; where GVF snake could successfully segment the brain tumor regions from MRI images. | ||
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