浮雕灰度图生成精度建模仿真研究  

Research on Modeling and Simulation of Accuracy of Grayscale Image Generation of Sculpture

作　　者：唐向红[1] 李宝君[1] 郑阳[1] 杨全纬 

机构地区：[1]贵州大学现代制造技术教育部重点实验室,贵州贵阳550003

出　　处：《计算机仿真》2015年第9期345-351,381,共8页Computer Simulation

基　　金：国家科技支撑计划课题(2012BAF12B14);贵州省重大科技专项(黔科合重大专项字〔2012〕6018);贵州省重大科技专项(黔科合重大专项字(2013)6019);贵州省科学技术基金项目(黔科合J字[2011]2196号);贵州省工业攻关项目(黔科合GY字〔2014〕3004)

摘　　要：在图像检测过程中,由于采集图像带有噪声,灰度图生成算法会产生许多无效的计算和像素值不准确的问题。为解决上述问题,首先定义了特征杂点,提出了删除特征杂点的算法。然后根据点云的稠密分布不均情况,分别提出了稠密型点云的灰度图生成算法和非稠密型点云的灰度图生成算法。实验证明提出的处理算法能有效地消除点云数据的噪声干扰和提出的灰度图生成算法避免了无效的计算和像素值不准确,提高了灰度图生成精度和效率。研究成果对提升浮雕生产质量具有重要的意义。Greyscale image acquisition process will inevitably produce image noises, Meanwhile, greyscale image generation algorithm will produce many invalid computation, and pixel values are not accurate. Then, this paper pro- posed the grayscale image generation algorithm of dense point clouds and non dense point clouds respectively, accord- ing to the distribution of the point clouds. Experimental results showed that the proposed algorithms can elimilate the noise of points cloud. At the same time, it can improve the accuracy and efficiency. The research results have great significance to improve the quality of relief production. This paper will have a positive impact on the quality of sculp- ture production.

关 键 词：特征杂点 灰度图 稠密型点云 非稠密型点云 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]