An Integrated Clustering Algorithm and its Application in Surgical Navigation
Keyword(s):
Extracting landmark geometric parameters in fluoroscopic image is a key technique in the camera calibration process of C-arm-based surgical navigation. This paper proposes an integrated clustering algorithm for landmark geometric parameters extraction. The proposed algorithm integrates an adaptive thresholding method and a connected components analysis method, it needs only one pass to process grayscale images and outcomes landmarks parameters directly. By experiments, the proposed algorithm demonstrates its high robustness, reliability and running efficiency in landmark geometric parameters extraction.
2005 ◽
pp. 141-150
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2005 ◽
pp. 571-578
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2006 ◽
Vol 96
(2)
◽
pp. 891-905
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2006 ◽
Vol 20
(06)
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pp. 869-881
Keyword(s):