Binary 3D image interpolation algorithm based global information and adaptive curves fitting

Tian-yi Zhang; Jin-hao Zhang; Xiang-chen Guan; Qiu-ping Li; Meng He

doi:10.1117/12.2032996

30 August 2013 Binary 3D image interpolation algorithm based global information and adaptive curves fitting

Tian-yi Zhang, Jin-hao Zhang, Xiang-chen Guan, Qiu-ping Li, Meng He

Proceedings Volume 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications; 89100Y (2013) https://doi.org/10.1117/12.2032996
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

Interpolation is a necessary processing step in 3-D reconstruction because of the non-uniform resolution. Conventional interpolation methods simply use two slices to obtain the missing slices between the two slices .when the key slice is missing, those methods may fail to recover it only employing the local information .And the surface of 3D object especially for the medical tissues may be highly complicated, so a single interpolation can hardly get high-quality 3D image. We propose a novel binary 3D image interpolation algorithm. The proposed algorithm takes advantages of the global information. It chooses the best curve adaptively from lots of curves based on the complexity of the surface of 3D object. The results of this algorithm are compared with other interpolation methods on artificial objects and real breast cancer tumor to demonstrate the excellent performance.

Citation Download Citation

Tian-yi Zhang, Jin-hao Zhang, Xiang-chen Guan, Qiu-ping Li, and Meng He "Binary 3D image interpolation algorithm based global information and adaptive curves fitting", Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 89100Y (30 August 2013); https://doi.org/10.1117/12.2032996

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