Chinese Journal of Lasers, Volume. 27, Issue 3, 237(2000)

Artificial Object Detection in Natural Background

[in Chinese] and [in Chinese]
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    References(7)

    [1] [1] J. Canny. A computatuonal approach to edge detection. IEEE Trans., 1986, PAMI-8(6):679~698

    [2] [2] J. Shen, S. Castan. An optimal liner operator for step edge detection. C.V.G.I.P.: Graphical Model and Image Process, 1992, 54(2):112~133

    [3] [3] L. Shafarenko, M. Petrou et al.. Automatic watershed segmentation of randomly textured color images. IEEE Trans. Image Processing, 1997, 6(11):1530~1543

    [4] [4] A. N. Moga, M. Gabbouj. Parallel image component labeling with watershed transformation. IEEE Trans., 1997, PAMI-19(5):441~450

    [5] [5] L. Vincent, P. Soille. Watersheds in digital spaces: an efficient algorithm based on immersion simulation. IEEE Trans., 1991, PAMI-13(12):583~598

    [6] [6] L. Najman, M. Schmitt. Geodesic saliency of watershed contours and hierarchical segmentation. IEEE Trans., 1996, PAMI-18(12):1163~1173

    [7] [7] J. K. Udupa, S. Samarasekera. Fuzzy connected and object definition: theory, algorithms, and applications in image segmentation. Graphical Models and Image Processing, 1996, 58(3):246~261

    CLP Journals

    [1] [in Chinese], [in Chinese], [in Chinese], "An improved computing method for the image edge detection," Chin. Opt. Lett. 5, 79 (2007)

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    [in Chinese], [in Chinese]. Artificial Object Detection in Natural Background[J]. Chinese Journal of Lasers, 2000, 27(3): 237

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    Paper Information

    Category: holography and information processing

    Received: Oct. 26, 1998

    Accepted: --

    Published Online: Aug. 9, 2006

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