Spherical harmonics entropy for optimal 3D modeling
This work provides a tool for 3D spherical image processing, but the contribution is incremental as it combines existing spherical harmonics with entropy evaluation.
The paper proposes a spherical harmonics-based approach for 3D image reconstruction, using Shannon-type entropy to evaluate reconstruction quality. Simulation results demonstrate the method's efficiency and accuracy on several spherical models.
3D image processing constitutes nowadays a challenging topic in many scientific fields such as medicine, computational physics and informatics. Therefore, development of suitable tools that guaranty a best treatment is a necessity. Spherical shapes are a big class of 3D images whom processing necessitates adoptable tools. This encourages researchers to develop spherical wavelets and spherical harmonics as special mathematical bases able for 3D spherical shapes. The present work lies in the whole topic of 3D image processing with the special spherical harmonics bases. A spherical harmonics based approach is proposed for the reconstruction of images provided with spherical harmonics Shannon-type entropy to evaluate the order/disorder of the reconstructed image. Efficiency and accuracy of the approach is demonstrated by a simulation study on several spherical models.