Mohamed Ben Gharsallaha, Issam Ben Mhammedb, Ezzedine Ben Braieka
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 231-240, 2018, DOI:10.1080/10798587.2016.1262457
Abstract In radiography imaging, contrast, sharpness and noise there are three fundamental factors that
determine the image quality. Removing noise while preserving and sharpening image contours is a
complicated task particularly for images with low contrast like radiography. This paper proposes a new
anisotropic diffusion method for radiography image enhancement. The proposed method is based on
the integration of geometric parameters derived from the local pixel intensity distribution in a nonlinear
diffusion formulation that can concurrently perform the smoothing and the sharpening operations.
The main novelty of the proposed anisotropic diffusion model is the ability to More >
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