Normalized level set model for segmentation of low-contrast objects in 2- and 3- dimensional images.

Mirza M Junaid Baig1,2, Yao L Wang2, Samuel H Chung2

  • 1Department of Physics, Northeastern University, 360 Huntington Ave., Boston, MA, USA 02115.

Summary

This study introduces a new algorithm to improve biomedical image segmentation, particularly for low-contrast structures. The method enhances accuracy in segmenting faint objects often missed by traditional techniques.