Abstract:
A measurement algorithm of voxels marking number based on slice images is presented. After preprocessing the CT image sequence, a point cloud model is built. The number mark for voxels is signed orderly from outside to center. Through local extremum search, the body-centers are got after downsizing. Statistics are completed using mark values of the body-centers. Experimental results show that the count and distribution of space spherules existed adhesion can be accurately measured by this method, when the random point noise probability is within 35%. And the volume estimation error is less than 5%.
Key words:
space spherules,
statistical measurement,
voxels marking number,
CT slice image,
point cloud model
摘要: 提出一种基于切片图像的体素标号测量算法。通过对CT图像序列作预处理建立点云模型,由外向内对体素进行序数标号,采用局部极值搜索和体心精简得到球粒体体心,由体心标号值完成统计。实验结果表明,随机点噪声范围在35%以内时,算法能准确统计出存在粘连的球粒体的数目与空间分布,且体积估算误差小于5%。
关键词:
空间球粒体,
统计测量,
体素标号,
CT切片图像,
点云模型
CLC Number:
LIN Xin-Yu, FAN Yong, XIAO De-Cheng, YUAN Fei, ZHANG Jin-Feng. Distribution Measurement of Space Spherules Based on Voxels Marking Number Method[J]. Computer Engineering, 2012, 38(19): 274-276,280.
任新宇, 范勇, 肖德成, 原飞, 张劲峰. 基于体素标号法的空间球粒体分布测量[J]. 计算机工程, 2012, 38(19): 274-276,280.