摘要
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第21期203-205,共3页
Computer Engineering
基金
国家自然科学基金资助项目(30570510)
关键词
三维重建
阶梯型边界曲面
边界曲面检测
边界曲面追踪
半透明可视化
3D reconstruction
step-like boundary surface
boundary surface detection
boundary surface tracing
semi-transparent visualization