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Volumn 3322, Issue , 2004, Pages 394-408

An Efficient Euclidean Distance Transform

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE ALGORITHMS; DISTANCE TRANSFORMS; EUCLIDEAN DISTANCE; EUCLIDEAN DISTANCE TRANSFORMS; IMAGE-ANALYSIS; LINEAR-TIME ALGORITHMS; OBJECT POINTS;

EID: 35048869565     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30503-3_28     Document Type: Article
Times cited : (51)

References (15)
  • 1
    • 84943347235 scopus 로고
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    • Rosenfeld, A.1    Pfaltz, J.2
  • 2
    • 0003403091 scopus 로고
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    • nd edition, CRC Press, Boca Raton, Florida (1995).
    • (1995) nd Edition
    • Russ, J.C.1
  • 5
    • 0003969212 scopus 로고    scopus 로고
    • Optimising Euclidean Distance Transform Values by Number Theoretic Methods
    • R. Creutzburg and J. Takala, Optimising Euclidean Distance Transform Values by Number Theoretic Methods, IEEE Nordic Signal Processing Symposium, pp 199-203 (2000).
    • (2000) IEEE Nordic Signal Processing Symposium , pp. 199-203
    • Creutzburg, R.1    Takala, J.2
  • 6
    • 0032186883 scopus 로고    scopus 로고
    • Optimal Design of Chamfer Distance Transforms
    • M.A. Butt and P. Maragos, Optimal Design of Chamfer Distance Transforms, IEEE Transactions on Image Processing, 7:10, pp 1477-1484 (1998).
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.10 , pp. 1477-1484
    • Butt, M.A.1    Maragos, P.2
  • 8
    • 38248998887 scopus 로고
    • The Euclidean Distance Transformation in Arbitrary Dimensions
    • I. Rangelmarn, The Euclidean Distance Transformation in Arbitrary Dimensions, Pattern Recognition Letters, 14, pp 883-888 (1993).
    • (1993) Pattern Recognition Letters , vol.14 , pp. 883-888
    • Rangelmarn, I.1
  • 9
    • 0742304570 scopus 로고    scopus 로고
    • Fast Euclidean Distance Transformation in 2 Scans Using a 3×3 Neighborhood
    • F.Y. Shih and Y.T. Wu, Fast Euclidean Distance Transformation in 2 Scans Using a 3×3 Neighborhood, Computer Vision and Image Understanding, 93, pp 109-205 (2004).
    • (2004) Computer Vision and Image Understanding , vol.93 , pp. 109-205
    • Shih, F.Y.1    Wu, Y.T.2
  • 11
    • 0032121892 scopus 로고    scopus 로고
    • A List-Processing Approach to Compute Voronoi Diagrams and the Euclidean Distance Transform
    • W. Guan and S. Ma, A List-Processing Approach to Compute Voronoi Diagrams and the Euclidean Distance Transform, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20:7: pp 757-761 (1998).
    • (1998) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.20 , Issue.7 , pp. 757-761
    • Guan, W.1    Ma, S.2
  • 12
    • 0033350911 scopus 로고    scopus 로고
    • Fast Euclidean Distance Transformation by Propagation using Multiple Neighbourhoods
    • O. Cuisenaire and B. Macq, Fast Euclidean Distance Transformation by Propagation using Multiple Neighbourhoods, Computer Vision and Image Understanding, 76, pp 163-172 (1999).
    • (1999) Computer Vision and Image Understanding , vol.76 , pp. 163-172
    • Cuisenaire, O.1    Macq, B.2
  • 15
    • 0028545498 scopus 로고
    • New Algorithms for Euclidean Distance Transformations of an N-dimensional Digitised Picture with Applications
    • T. Saito and J.I. Toriwaki, New Algorithms for Euclidean Distance Transformations of an N-dimensional Digitised Picture with Applications, Pattern Recognition, 27, pp 1551-1565 (1994).
    • (1994) Pattern Recognition , vol.27 , pp. 1551-1565
    • Saito, T.1    Toriwaki, J.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.