三维图像中边界曲面的抽取与半透明可视化

Extraction and Semi-transparent Visualization of Boundary Surface in 3D Images

已有算法在重构及可视化梯度值从高到低变化且包含弱边界的边界曲面时无法分辨弱边界与噪声碎片。针对上述问题,提出边界曲面半透明显示方法。采用半透明显示技术显示边界曲面及附着在其上的小碎片,利用人的智能及知识在观察可视化结果时对小碎片及弱边界进行有效的区分。结果证明,该方法有助于正确理解及完整显示三维图像中梯度值从高到低变化的边界曲面,为进一步的交互式操作去除小碎片提供依据。

The existed algorithms can not distinguish boundary surfaces with low gradient values from cracks resulted from noises for boundary surfaces with gradient values changing from high to low within 3D images. In order to settle this problem, this paper proposes a semi-transparent visualization method. It exploits intelligence and knowledge of human beings to effectively separate boundary surfaces with low gradient values from cracks resulted from noises by visualizing them translucently. It is proved that the boundary surfaces with gradient values changing from high to low within 3D images can be visualized completely and understood correctly.