L. J. van Vliet, I. T. Young and G. L. Beckers, "A Nonlinear Laplace Operator as Edge Detector in Noisy Images", Comp. Vision, Graphics, and Image Process., vol.45, pp.167-195, 1989. Home/Search Document Not in Database Summary Related Articles Check |
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Morphological Image Segmentation by Local Monotonicity - Joseph Bosworth And (1999) (1 citation) (Correct)
....to the relate Laplacian of Gaussian (LOG) edge detection. The relationship is explained in further detail as follows. In I D, the morphological edge detection may be written as: f(x) k(x) 2f(x) f(x) e k(x) f (x) which is referred to in the literature as the morphological Laplacian [6]. In fact, for Iomo n this reduces to the familiar discrete approximation to the second derivative given by: f(x iX) 2f(x) f(x iX) f (x) for any sampling interval A n 2. Note that this equivalence between the morphological Laplacian and simple second derivative approximation ....
L. J. Van Vliet, I. T. Young, and G. L. Beckers, "A nonlinear Laplace operator as edge detector in noisy images," Computer Visioa, Graphics, and hnage Processing, vol. 45, pp. 167-195, 1989.
Fundamentals Of Image Processing - Young, Gerbrands, van Vliet (1995) (6 citations) Self-citation (Van vliet Young) (Correct)
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Van Vliet, L.J., I.T. Young, and A.L.D. Beckers, A Non-linear Laplace Operator as Edge Detector in Noisy Images. Computer Vision, Graphics, and Image Processing, 1989. 45: p. 167-195.
Morphological Filtering For Image Enhancement And Feature Detection - Maragos (2005) (Correct)
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L. J. van Vliet, I. T. Young and G. L. Beckers, "A Nonlinear Laplace Operator as Edge Detector in Noisy Images", Comp. Vision, Graphics, and Image Process., vol.45, pp.167-195, 1989.
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