Automated Resolution Selection for Image Segmentation
It is well known in image processing in general, and hence in image segmentation in particular, that computational cost increases rapidly with the number and dimensions of the images to be processed. Several fields, such as astronomy, remote sensing, and medical imaging, use very large images, which...
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| Language: | en |
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2014
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| Online Access: | http://hdl.handle.net/10012/8283 |