Estimation of Average Cell Shape from Digital Images of Cellular Surfaces
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
A Neuro-Fuzzy Approach for Compensating Color Backlight Images
Neural Processing Letters
Improving minutiae detection in fingerprints using multiresolution contrast enhancement
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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This paper contributes a novel approach to contrast enhancement. The proposed approach measures local contrast within the context of a nonlinear scale-space representation. The original image is locally probed at multiple resolutions generated through anisotropic diffusion. Once local contrast has been estimated across an optimal range of scales, its value is used to enhance the initial image. Due to the choice of the anisotropic scale-space, the method also accounts for nonlinear edge contributions. Properties of local contrast within scale-space are introduced and discussed.