A Variable Order Fractional Differential-Based Texture Enhancement Algorithm with Application in Medical Imaging.

ABSTRACT: Texture enhancement is one of the most important techniques in digital image processing and plays an essential role in medical imaging since textures discriminate information. Most image texture enhancement techniques use classical integral order differential mask operators or fractional differential mask operators using fixed fractional order. These masks can produce excessive enhancement of low spatial frequency content, insufficient enhancement of large spatial frequency content, and retention of high spatial frequency noise. To improve upon existing approaches of texture enhancement, we derive an improved Variable Order Fractional Centered Difference (VOFCD) scheme which dynamically adjusts the fractional differential order instead of fixing it. The new VOFCD technique is based on the

SUBMITTER: Yu Q 

PROVIDER: S-EPMC4506148 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature