Image segmentation forms the crux of an image processing module. Its main goal is to divide the image into foreground and background with region of interest occupying the former. To achieve quality segmentation partic...
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ISBN:
(纸本)9781479940844
Image segmentation forms the crux of an image processing module. Its main goal is to divide the image into foreground and background with region of interest occupying the former. To achieve quality segmentation particularly in medical imaging, algorithms require user interaction with domain knowledge. activecontours are well established techniques which are prolifically used for segmenting medical images. It falls under the semi automaticmethod owing to the manual contourinitialization. In this paper, we propose a simple, global approach of segmentation using an automaticinitialization for activecontourmethods which has the potential to completely eliminate the human interaction.
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