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Volumn 53, Issue 4, 2007, Pages 210-226

An efficient immersion-based watershed transform method and its prototype architecture

Author keywords

FIFO queue; FPGA implementation; Image segmentation; Watershed transformation

Indexed keywords

CATCHMENTS; COMPUTER HARDWARE; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FLOODS; IMAGE SEGMENTATION; SOFTWARE PROTOTYPING; WATERSHEDS;

EID: 33846911577     PISSN: 13837621     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sysarc.2005.12.005     Document Type: Article
Times cited : (24)

References (24)
  • 1
    • 0021892020 scopus 로고
    • Image segmentation techniques, computer vision, graphics
    • Haralick R., and Shapiro L. Image segmentation techniques, computer vision, graphics. Image Processing 29 (1985) 100-132
    • (1985) Image Processing , vol.29 , pp. 100-132
    • Haralick, R.1    Shapiro, L.2
  • 3
    • 0026221493 scopus 로고
    • Split-and-merge image segmentation based on localized feature analysis and statistical tests, computer vision, graphics
    • Chen S., Lin W., and Chen C. Split-and-merge image segmentation based on localized feature analysis and statistical tests, computer vision, graphics. Image Processing 53 (1991) 457-475
    • (1991) Image Processing , vol.53 , pp. 457-475
    • Chen, S.1    Lin, W.2    Chen, C.3
  • 4
    • 20444440880 scopus 로고
    • Random field models in image analysis
    • Dubes R., and Jain A. Random field models in image analysis. Journal of Applied Statistics 16 2 (1989) 131-164
    • (1989) Journal of Applied Statistics , vol.16 , Issue.2 , pp. 131-164
    • Dubes, R.1    Jain, A.2
  • 5
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Pal N., and Pal S. A review on image segmentation techniques. Pattern Recognition 26 (1993) 1277-1294
    • (1993) Pattern Recognition , vol.26 , pp. 1277-1294
    • Pal, N.1    Pal, S.2
  • 6
    • 0000950331 scopus 로고    scopus 로고
    • The watershed transform: definitions, algorithms and parallelization strategies
    • Roerdink J.B.T.M., and Meijster A. The watershed transform: definitions, algorithms and parallelization strategies. Fundamenta Informaticae 41 (2001) 187-228
    • (2001) Fundamenta Informaticae , vol.41 , pp. 187-228
    • Roerdink, J.B.T.M.1    Meijster, A.2
  • 7
    • 0029488586 scopus 로고    scopus 로고
    • H. Ancin, T.E. Dufresne, G.M. Ridder, J.N. Turner, B. Roysam, An improved watershed algorithm for counting objects in noisy, anistropic 3D biological images, in: Proceedings of IEEE International Conference on Image Processing Vol. III, Washington, DC, 1995, pp. 172-175.
  • 8
    • 0030389466 scopus 로고    scopus 로고
    • S. Wegner, T. Harms, H. Oswald, E. Fleck, Medical image segmentation using the watershed transformation on graphs, in: Proceedings of International Conference on Image Processing, vol. 3, Lausanne, Switzerland, 1996, pp. 37-40.
  • 9
    • 0029482197 scopus 로고    scopus 로고
    • L.A. Gee, Segmentation of range images using morphological operators: review and examples, in: SPIE Conference on Intelligent Robots and Computer Vision XIV, vol. 2588, Philadelphia, PA, 1995, pp. 734-746.
  • 10
    • 0032162750 scopus 로고    scopus 로고
    • Unsupervised video segmentation based on watersheds and temporal tracking
    • Wang D. Unsupervised video segmentation based on watersheds and temporal tracking. IEEE Transactions on Circuits and Systems for Video Technology 8 5 (1998) 539-546
    • (1998) IEEE Transactions on Circuits and Systems for Video Technology , vol.8 , Issue.5 , pp. 539-546
    • Wang, D.1
  • 11
    • 33846918644 scopus 로고    scopus 로고
    • S. Beucher, C. Lantuejoul, Use of watersheds in contour detection, in: International Workshop on Image processing, Real Time Edge and Motion Detection/Estimation, Rennes, France, 1979, pp. 2.1-2.12.
  • 12
    • 33846934451 scopus 로고    scopus 로고
    • S. Beucher, Segmentation d'images et morphologie mathèmatique, Ph.D. thesis, School of Mines, Paris (June 1990).
  • 13
    • 0026172104 scopus 로고
    • Watersheds in digital spaces: an efficient algorithm based on immersion simulations
    • Vincent L., and Soille P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE PAMI 13 6 (1991) 583-598
    • (1991) IEEE PAMI , vol.13 , Issue.6 , pp. 583-598
    • Vincent, L.1    Soille, P.2
  • 14
    • 0000442474 scopus 로고
    • The morphological approach to segmentation: the watershed transformation
    • Marcel Dekker Inc, New York
    • Beucher S., and Meyer F. The morphological approach to segmentation: the watershed transformation. Mathematical Morphology in Image Processing (1993), Marcel Dekker Inc, New York 433-481
    • (1993) Mathematical Morphology in Image Processing , pp. 433-481
    • Beucher, S.1    Meyer, F.2
  • 15
    • 0028464661 scopus 로고
    • Topographic distance and watershed lines
    • Meyer F. Topographic distance and watershed lines. Signal Processing 38 1 (1994) 113-125
    • (1994) Signal Processing , vol.38 , Issue.1 , pp. 113-125
    • Meyer, F.1
  • 16
    • 33846922774 scopus 로고    scopus 로고
    • A.N. Moga, Parallel watershed algorithms for image segmentation, Ph.D. thesis, Tampere University of Technology, Tampere, Finland (February 1997).
  • 17
    • 0030652938 scopus 로고    scopus 로고
    • D. Noguet, A massively parallel implementation of the watershed based on cellular automata, in: Proceedings of IEEE International Conference on Application-Specific Systems, Architectures and Processors, 1997, pp. 42-52.
  • 18
    • 0035017605 scopus 로고    scopus 로고
    • C.J. Kuo, S.F. Odeh, M.C. Huang, Image segmentation with improved Watershed Algorithm and its FPGA implementation, in: Proceedings of IEEE International Symposium on Circuits and Systems, vol. 2, 2001, pp. 753-756.
  • 19
    • 84962811745 scopus 로고    scopus 로고
    • C. Rambabu, I. Chakrabarti, A. Mahanta, An efficient architecture for an improved watershed algorithm and its fpga implementation, in: Proceedings of IEEE International Conference on Field Programmable Technology, Hong Kong, 2002, pp. 370-373.
  • 20
    • 2342587264 scopus 로고    scopus 로고
    • C. Rambabu, T.S. Rathore, I. Chakrabarti, A new watershed algorithm based on hill climbing technique for image segmentation, in: Accepted for presentation at IEEE TENCON'03, Bangalore, India, 2003.
  • 21
    • 0021643883 scopus 로고
    • Geodesic methods in quantitative image analysis
    • Lantuejoul C., and Maisonneuve F. Geodesic methods in quantitative image analysis. Pattern Recognition 17 (1984) 177-187
    • (1984) Pattern Recognition , vol.17 , pp. 177-187
    • Lantuejoul, C.1    Maisonneuve, F.2
  • 22
    • 0031374390 scopus 로고    scopus 로고
    • A multi-scale gradient algorithm for image segmentation using watersheds
    • Wang D. A multi-scale gradient algorithm for image segmentation using watersheds. Pattern Recognition 678 12 (1997) 2043-2052
    • (1997) Pattern Recognition , vol.678 , Issue.12 , pp. 2043-2052
    • Wang, D.1
  • 23
    • 33846919601 scopus 로고    scopus 로고
    • P.P. Chaudhuri, D.R. Chowdhury, S. Nandi, S. Chattopadhyay, Additive Cellular Automata Theory and Applications, vol. 1, IEEE Computer Society Press, Los Alamitos, California, 1997, pp. 274-313 (Chapter 10).
  • 24
    • 33846908504 scopus 로고    scopus 로고
    • IEEE Standard VHDL Language Reference Manual, The Institute of Electrical and Electronics Engineers, 1993.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.