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 esse...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.展开更多
The article analysis the external market environment and the situation of requirement and the competitor in market of office building with the same rank and the same type according to market research, the aim is to re...The article analysis the external market environment and the situation of requirement and the competitor in market of office building with the same rank and the same type according to market research, the aim is to research the whole processing operation and management, including making the marker orientation, confirming and finding the potential lesse making the rent plan, negotiating and signing the contract.展开更多
基金Projectof Science and Technology Committee of Shanghai Municipality(No2528(3))
文摘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.
文摘The article analysis the external market environment and the situation of requirement and the competitor in market of office building with the same rank and the same type according to market research, the aim is to research the whole processing operation and management, including making the marker orientation, confirming and finding the potential lesse making the rent plan, negotiating and signing the contract.
