arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1805.08084math.NAcs.NA

球谐熵用于最优3D建模

Spherical harmonics entropy for optimal 3D modeling

National Engineering School of Sousse(苏塞国立工程学院);Higher Institute of Applied Mathematics and Informatics(应用数学与信息高等研究院)

Malika Jallouli, Wafa Bel Hadj Khalifa, Anouar Ben Mabrouk, Mohamed Ali Mahjoub

AI总结:

本文提出基于球谐分析的图像重建方法,利用球谐熵评估重建图像的有序性,通过模拟研究验证了方法的效率和准确性。

摘要:

3D图像处理如今在医学、计算物理和信息学等领域都是具有挑战性的话题。因此,开发能保证最佳处理的合适工具是必要的。球形形状是3D图像的一大类,其处理需要可适应的工具。这促使研究者开发球面小波和球谐分析作为特殊的数学基底,能够处理3D球形形状。本文聚焦于3D图像处理领域,特别针对球谐基底。本文提出了一种基于球谐分析的图像重建方法,利用球谐熵(Shannon型)来评估重建图像的有序性或无序性。通过在多个球形模型上的模拟研究,展示了该方法的效率和准确性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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