基于形状重构和多尺度曲面拟合的RBC图像分割

Ruihu Wang, Brendan MacCane, Bin Fang
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引用次数: 13

摘要

红细胞的形状变形能力对血液的滤过性起着重要的作用。提出了一种用于红细胞复杂表面分割的组合方法。首先采用轮廓引导法提取单个细胞;然后利用每个像素的阴影变化信息进行三维形状重建。每幅图像恢复的深度图通过多尺度曲面拟合对形状进行分割。实验结果表明,该方法具有良好的分类效果,具有较高的分类精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RBC Image Segmentation Based on Shape Reconstruction and Multi-scale Surface Fitting
The shape deformability of Red Blood Cell plays an important role in blood filterability. This paper proposed a combined approach for complex surface segmentation of Red Blood Cell. Firstly the individual cell was extracted using contour guiding method. Each pixel's shading variation information was then used for 3D shape reconstruction. The recovered depth map of each image contributed to segment the shape through multi-scale surface fitting. The experimental result shown good results and obtained high classification accuracy.
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