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Design of a computer-aided automatic system is very important for identification of different ocular diseases. A vital concern within this framework is the accurate retinal blood vessel extraction. This paper extracts vessels using curvelet transform, morphological operation, matched filtering and Differential Evolution based optimal clustering. Curvelet transform is implemented to enhance vessel...
Reversible watermarking (RW) is one of the best possible solutions for content authentication of a digital data. In RW the decoder may recover the hidden and original information losslessly. Existing works suggest that prediction error expansion (PEE) based RW scheme ensures higher embedding capacity with low imperceptibility. In general, PEE based RW schemes use a single predictor. But this is seen...
Automatic extraction of retinal blood vessels is an important issue for the diagnosis and the treatment of different retinal disorders. Most of the retinal images are of low contrast due to non-uniform illumination during acquisition process. Therefore, vessel extraction from unevenly illuminated retinal background is really a challenging task. To extract the vessels which lie in the optic disc region,...
This paper addresses the issue of magnetic resonance (MR) Image reconstruction at compressive sampling (or compressed sensing) paradigm followed by its segmentation. To improve image reconstruction problem at low measurement space, weighted linear prediction and random noise injection at unobserved space are done first, followed by spatial domain de-noising through adaptive recursive filtering. Reconstructed...
Segmentation of medical images is a very difficult and challenging task due to many inherent complex characteristics present in it. Moreover in many practical situations, medical images are captured at low measurement spaces i.e. at compressed sensing (CS) paradigm for a variety of reasons, for example, due to the limited number of sensors used or measurements may be extremely expensive. Reconstructed...
This paper addresses the automatic blood vessel detection problem in retinal images using matched filtering in an integrated system design platform that involves curve let transform and fuzzy c-means. Although noise is kept constant in medical CCD cameras, due to a number of factors, the contrast between the background and the blood vessels in retinal images and consequently the visual quality of...
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