What is it about?
The focus of this work is on kidney images enhancement by proposing a new Local Fractional Entropy (LFE)-based model. The proposed model estimates the probability of pixels that represent edges based on the entropy of the neighboring pixels, which results in local fractional entropy
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Why is it important?
When there is a small change in the intensity values (indicating the presence of edge in the image), the local fractional entropy gives fine image details. Similarly, when no change in intensity values is present (indicating smooth texture), the LFE does not provide fine details, based on the fact that there is no edge information.
Perspectives
A comparative study with the classical methods, coupled with the latest enhancement methods, shows that the proposed model outperforms the existing methods
Dr Hamid Abdullah Jalab
University of Malaya
Read the Original
This page is a summary of: A New Local Fractional Entropy-Based Model for Kidney MRI Image Enhancement, Entropy, May 2018, MDPI AG,
DOI: 10.3390/e20050344.
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