Integral invariants for image enhancement
- Resource Type
- Conference
- Authors
- Janan, Faraz; Brady, Sir Michael
- Source
- 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. :4018-4021 Jul, 2013
- Subject
- Engineered Materials, Dielectrics and Plasmas
Shape
Smoothing methods
Noise
Image segmentation
Kernel
Anisotropic magnetoresistance
Image edge detection
- Language
- ISSN
- 1094-687X
1558-4615
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.