Integral invariants for image enhancement

Janan, Faraz and Brady, Michael (2013) Integral invariants for image enhancement. Integral invariants for image enhancement . pp. 4018-4021. ISSN 1094-687X

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Item Type:Article
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Abstract

Medical images pose a major challenge for image analysis: often they have poor signal-to-noise, necessitating smoothing; yet such smoothing needs to preserve the boundaries of regions of interest and small features such as mammogram microcalcifications. We show how circular integral invariants (II) may be adapted for feature-preserving smoothing to facilitate segmentation. Though II is isotropic, we show that it leads to considerably less feature deterioration than Gaussian blurring and it improves segmentation of regions of interest as compared to anisotropic diffusion, particularly for hierarchical contour based segmentation methods.

Additional Information:Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE 3-7 July 2013
Keywords:Shape, Smoothing methods, Noise, Image segmentation, Kernel, Anisotropic magnetoresistance, Image edge detection
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:24370
Deposited On:02 Feb 2017 10:05

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