Morphology-based three-dimensional interpolation
Morphology-based three-dimensional interpolation
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DOI：
10.1109/42.875193
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发表时间：
2000-07-01
影响因子：
10.6
通讯作者：
Wang, WH
中科院分区：
文献类型：
--
作者：
Lee, TY;Wang, WH
在许多医学应用中，可用的二维(2-D)图像的数量总是不足的。因此，三维重建必须通过适当的内插方法来填充可用图像切片之间的空隙。在本文中，我提出了一种基于形态学的缺失数据内插算法。提出的算法由几个步骤组成。首先，使用传统的图像处理技术提取物体或孔的轮廓。其次，评估对象或孔匹配问题。在进行内插之前，先对齐物体的质心，然后使用膨胀算子将数字图像转换为距离图，并根据需要对距离图进行校正。最后，我们利用腐蚀算子来完成插补，而且，如果要插补多个物体或孔洞，我们将它们混合在一起来完成算法。我们针对文献中报道的各种综合案例对所提出的方法进行了实验评估。实验结果表明，该方法能够有效地处理一般对象的插补。
In many medical applications, the number of available two-dimensional (2-D) images is always insufficient. Therefore, the three-dimensional (3-D) reconstruction must be accomplished by appropriate interpolation methods to fill gaps between available image slices. In this paper, me propose a morphology-based algorithm to interpolate the missing data. The proposed algorithm consists of several steps. First, the object or hole contours are extracted using conventional image-processing techniques. Second, the object or hole matching issue is evaluated. Prior to interpolation, the centroids of the objects are aligned, Next, we employ a dilation operator to transform digital images into distance maps and we correct the distance maps if required. Finally, we utilize an erosion operator to accomplish the interpolation, Furthermore, if multiple objects or holes are interpolated, we blend them together to complete the algorithm. We experimentally evaluate the proposed method against various synthesized cases reported in the literature. Experimental results show that the proposed method is able to handle general object interpolation effectively.