Image Segmentation Using Active Contour Models and Partial Differential Equations

被引：0

作者：

Livada, Caslav ^{[1
]}

Leventic, Hrvoje ^{[1
]}

Galic, Irena ^{[1
]}

机构：

[1] Fac Elect Engn Osijek, Osijek, Croatia

来源：

2014 56TH INTERNATIONAL SYMPOSIUM ELMAR (ELMAR) | 2014年

关键词：

3D reconstruction; PDEs; Active Contours; Non linear-diffusion; MRI;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article displays benefits of image segmentation for purpose of 3D reconstruction. Medical images and in this case CT slices are being reconstructed in 3D space for better medical investigation. It is relatively hard to use raw images for 3D reconstruction, so certain areas are being singled out using active contour models. Partial Differential Equations (PDEs), as non-linear diffusion, are used for image denoising because CT images have large gradiental areas that need to be evened out.

引用

页码：191 / 194

页数：4

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