Improvement in the between-class variance based on lognormal distribution for accurate image segmentation

HIGHLIGHTS

• who: Walaa Ali H. Jumiawi and Ali El-Zaart from the Department of Mathematics and Computer Science, Faculty of Science, Arab University have published the paper: Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation, in the Journal: Entropy 2022, 24, x FOR PEER REVIEW of /2022/
• what: The proposed model aims to handle the drawbacks of asymmetric distribution especially for images with right-skewed intensity levels. The authors applied 50 simulated images and 100 MRI brain tumor images for segmentation in parallel with the proposed model and relevant methods . . .
  

   

  

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