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首页> 外文会议>Conference on physiology and function from multidimensional images >Analytic surface reconstruction by local threshold estimation in the case of simple intensity contrasts
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Analytic surface reconstruction by local threshold estimation in the case of simple intensity contrasts

机译：在简单强度对比的情况下，通过局部阈值估计分析表面重建

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Surface reconstruction for 3D visualization requires both a segmentation of the image and at the least, a conversion of the data from an image format to a shape format. While the discrete pixel locations of the segmentation may be satisfactory for quantitative purposes, it is usually important for visual quality to remove such voxelation in the shape data prior to rendering. Removal of such voxelation, depending on the specific segmentation technique, may be problematic, involving excessive interpolation prior to segmentation or the application of pure surface smoothing in which important image information may be disregarded. An algorithm is presented here to address these problems. In this algorithm, a smoothly varying threshold level is determined such that that level falls within the interpolated intensity ranges of all the segmentation-boundary voxels. This threshold information is extrapolated to voxels adjacent to the boundary and then used to correct or normalize the original image in the vicinity of the boundary. Provided that the directionality of the contrast between the interior and exterior of the boundary is sufficiently consistent throughout the boundary, an isosurface of this normalized image is guaranteed to exist which falls within the voxels of the segmentation boundary.
机译：3D可视化的表面重建需要图像的分割，并且至少是从图像格式转换为形状格式的数据。虽然分割的离散像素位置可以令人满意地用于定量目的，但对于视觉质量通常是重要的，以在渲染之前去除形状数据中的这种体曲线。取决于特定的分割技术，除去这种体曲面可能是有问题的，涉及在分割之前的过度插值或施加纯表面平滑，其中可以忽略重要图像信息。此处呈现了一种算法来解决这些问题。在该算法中，确定平滑变化的阈值水平，使得该电平落入所有分段边界体素的内插强度范围内。该阈值信息被推断为与边界相邻的体素，然后用于校正或归一化边界附近的原始图像。如果边界的内部和外部之间的对比度的方向性是在整个边界的充分一致，则保证存在该归一化图像的异形表面，其落入分割边界的体素内。

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