摘要
提出了一种基于分层聚类的彩色结构光光条检测方法:将彩色图像转换为灰度图像,利用分层聚类对图像像素逐行进行结构光光条中心点初值计算;根据邻域灰度信息,对结构光光条中心点进行亚像素定位,并基于颜色距离和欧氏距离判别结构光光条中心点索引;对图像进行自上而下的行扫描,完成彩色结构光光条检测。仿真和实验验证了方法的正确性与可行性,结果表明:对光条中心的检测精度为0.47pixel;对于存在微小断裂的光条,该方法仍可保持光条的一致性和完整性。该方法可应用于结构光三维重建领域,具有一定的理论研究价值和工程应用前景。
This study proposes a detection method for the color structured light stripe based on hierarchical clustering.First,the proposed method converts a color image to a gray image and computes the initial value of central point of the structured light stripe along each row of the image based on hierarchical clustering.Second,the sub-pixel location of central point of the structured light stripe is conducted based on the neighborhood grayscale information,which is indexed on the basis of color distance and Euclidean distance.Finally,the color structured light stripe is detected with image progressive scanning from top to bottom.The proposed method has been validated by both simulations and experiments.The results indicate that the detection precision of the stripe center is 0.47 pixel.The proposed method can still maintain the consistency and integrity of the stripe when the stripe has a tiny fracture.The method can be used in the field of structured light three-dimensional reconstruction and has significant relevance in theoretical research and engineering applications.
作者
刘进博
郭鹏宇
伍越
陈卫
Liu Jinbo;Guo Pengyu;Wu Yue;Chen Wei(Hypervelocity Aerodynamics Institute,China Aerodynamics Research and Development Center,Mianyang,Sichuan 621000,China;National Innovation Institute of Defense Technology,Beijing 100071,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2019年第22期90-96,共7页
Laser & Optoelectronics Progress
基金
国家自然科学基金(11802321)
关键词
测量
三维重建
光条检测
彩色结构光
分层聚类
亚像素
measurement
three-dimensional reconstruction
stripe detection
color structured light
hierarchical clustering
sub-pixel
