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Volumn 3021, Issue , 2004, Pages 549-561

A robust algorithm for characterizing anisotropic local structures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANISOTROPY; COMPUTERIZED TOMOGRAPHY; COVARIANCE MATRIX; TUMORS; VOLUMETRIC ANALYSIS;

EID: 24644470774     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24670-1_42     Document Type: Article
Times cited : (5)

References (21)
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    • Comaniciu, D.1    Meer, P.2
  • 7
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    • Positive definite constrained least-squares estimation of matrices
    • H. Hu. Positive definite constrained least-squares estimation of matrices. Linear Algebra and Its Applications, 229:167-174, 1995.
    • (1995) Linear Algebra and Its Applications , vol.229 , pp. 167-174
    • Hu, H.1
  • 8
    • 0006659626 scopus 로고    scopus 로고
    • Do we really have to consider covariance matrices for image features?
    • Vancouver
    • Y. Kanazawa and K. Kanatani. Do we really have to consider covariance matrices for image features? In Int. Conf. Computer Vision, pages 586-591, Vancouver, 2001.
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    • Kanazawa, Y.1    Kanatani, K.2
  • 9
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    • Koenderink, J.1
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    • Y. Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki. Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique. IEEE Trans. Medical Imaging, 20(7):595-604, 2001.
    • (2001) IEEE Trans. Medical Imaging , vol.20 , Issue.7 , pp. 595-604
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    • 0032209062 scopus 로고    scopus 로고
    • Feature detection with automatic scale selection
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.