文献类型：会议论文

英文题名：Parallel data processing based on image feature extraction in reverse measurement

作者：Li, Guanghui[1,2];Liu, Guangjun[3];Song, Liangjun[2];Tan, Guangyu[1,2]

机构：[1]Guangdong Ocean Univ, Coll Engn, Zhanjiang 524088, Peoples R China;[2]Harbin Univ Sci & Technol, Mech & Power Engn Coll, Harbin 150080, Peoples R China;[3]Tongji Univ, Coll Mech Engn, Shanghai 200092, Peoples R China

会议论文集：Conference on Pattern Recognition and Computer Vision

会议日期：NOV 15-17, 2007

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：3D visual measurement; structured light; calibration; image matching; feature identification

外文摘要：A model of a measurement system composed by two CCD cameras using parallel binocular line-structured light is proposed. The singular value decomposition is used to solve the over-determined equation to obtain the parameters in the imaging model of the cameras. The feature recognition technique is applied to segment feature information of the image in the process of range image acquisition. Then pre-processing (image smoothing, binaryzation and image segmentation) of the image is processed, and the image is condensed to remove useless information. The image acquisition and condensing are carried out in parallel to gather image and extract effective data simultaneously. The proposed method solves the difficulty of removing the disturbed information in range image and realizes parallel data processing, which greatly simplifies the following work of irnage matching and image characteristic data extraction.