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Application of a Fast Connected Components Labeling Algorithm in Processing Landmark Images
作者姓名:闫士举  王成焘  陈统一  袁文  苏颖颖
作者单位:School of Mechanical Eng. Shanghai Jiaotong Univ.,School of Mechanical Eng. Shanghai Jiaotong Univ.,Dept. of Orthopaedics Zhongshan Hospital,Dept. of Orthopaedics Changzheng Hospital,School of Mechanical Eng. Shanghai Jiaotong Univ.,Shanghai 200240 China,Shanghai 200240 China,Shanghai 200032 China,Shanghai 200003 China,Shanghai 200240 China
摘    要:Extracting geometric data of landmarks from fluoroscopic images plays an important role in camera calibration process of a fluoroscopic-image-based surgical navigation system. Connected components labeling is the essential technique for the extraction. A new fast connected components labeling algorithm was presented. The definition of upward concave set was introduced to explain the algorithm. Feasibility and efficiency of the algorithm were verified with experiments. This algorithm performs well in labeling non-upward concave set connected components and applies to landmarks labeling well. Moreover, the proposed algorithm possesses a desirable characteristic that will facilitate the subsequent processing of fluoroscopic images.

关 键 词:图象识别  导航技术  零件标签  加工处理

Application of a Fast Connected Components Labeling Algorithm in Processing Landmark Images
YAN Shi-ju,WANG Cheng-tao,CHEN Tong-yi,YUAN Wen,SU Ying-ying.Application of a Fast Connected Components Labeling Algorithm in Processing Landmark Images[J].Journal of Shanghai Jiaotong university,2007,12(3):383-388.
Authors:YAN Shi-ju  WANG Cheng-tao  CHEN Tong-yi  YUAN Wen  SU Ying-ying
Abstract:Extracting geometric data of landmarks from fluoroscopic images plays an important role in camera calibration process of a fluoroscopic-image-based surgical navigation system. Connected components labeling is the essential technique for the extraction. A new fast connected components labeling algorithm was presented. The definition of upward concave set was introduced to explain the algorithm. Feasibility and efficiency of the algorithm were verified with experiments. This algorithm performs well in labeling non-upward concave set connected components and applies to landmarks labeling well. Moreover, the proposed algorithm possesses a desirable characteristic that will facilitate the subsequent processing of fluoroscopic images.
Keywords:C-arm  surgical navigation system  connected components labeling  convex set
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