摘要
针对体绘制的最佳视点问题,提出了一种基于蚁群算法的体绘制视点优化方法.该方法利用信息熵的形式,构造了一种基于体数据2维投影图像的不透明度及其结构信息的视点评价函数作为视点优化的依据;在体绘制的进程中,应用蚁群算法进行视点优化,自动、智能地实现全局最佳视点的选择.实验结果表明:应用该方法进行体绘制的视点优化,具有收敛速度快、精度高和性能稳定的特点,可以显著提高体绘制的效率.
In this paper, we presented a method of viewpoint optimization using ant colony algorithm for the opti- mal viewpoint of volume rendering. Utilizing the opacity and structure features of the two-dimensional projected image of volume data, a viewpoint evaluation function was constructed in the form of information-theoretic entropy and regarded as the criterion for optimizing viewpoint. During the process of volume rendering, ant colony algo- rithm was introduced to select the optimal viewpoint automatically and intelligently. Experimental results have shown this method can increase the convergence rate, accuracy and stability in viewpoint optimization, and sig- nificantly improve the efficiency of volume rendering.
出处
《江苏科技大学学报（自然科学版）》
CAS
2013年第3期269-274,共6页
Journal of Jiangsu University of Science and Technology:Natural Science Edition
关键词
体绘制
视点优化
视点评价
蚁群算法
熵
volume rendering
viewpoint optimization
viewpoint evaluation
ant colony algorithm
entropy
