J. S. J. Lee, R. M. Haralick and L. G. Shapiro, Morphologic edge detection, IEEE rans. on Robotics Automat. 3, 140 ---156 (1987). Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Decoupling Recognition and Localization in CAD-Based Vision - Dickinson, Metaxas (Correct)
....Qualitative Shape Recovery 4.1.1 Face Recovery The first step to recovering a set of faces is a region segmentation of the input image. We begin by applying Saint Marc, Chen, and Medioni s edge preserving adaptive smoothing filter to the image [22] followed by a morphological gradient operator [12]. A hysteresis thresholding operation is then applied to produce a binary image from which a set of connected components is extracted. Edge regions are then burned away, resulting in a region topology graph in which nodes represent regions and arcs specify region adjacencies. From a region ....
J. Lee, R. Haralick, and L Shapiro. Morphologic edge detection. IEEE Journal of Robotics and Automation, RA3 (2):142--155, 1987.
Constructing Noise-Reducing Operators from Training Images - Sher, Cheung (Correct)
....specifically skeletonization, to find the lengths of fetal ulnas. Jang and Chin (Jang and Chin, 1990) developed a set of morphological techniques and proved that their algorithms thin correctly. Mathematical morphology can be used to perform edge detection, for example Lee, Haralick and Shapiro (S.J.Lee et al. 1986) Klingler et.al. Klingler Jr. et al 1988) used morphological operations to segment and smooth 2 D echocardiograms, while Revankar and Sher (Sher et al. 1989) used mathematical morphology for adaptive thresholding on 2 D echocardiograms. Mathematical morphology can also be applied to image ....
James S.J.Lee, Robert M. Haralick, and Linda G. Shapiro. Morphologic edge detection. Proceedings computer communications 1986, pages 369--373, 1986.
Active Object Recognition Integrating Attention and.. - Dickinson.. (1994) (16 citations) (Correct)
....in the image, but the computational complexity is comparable to simple region based approaches. In our implementation, we begin by applying Saint Marc, Chen, and Medioni s edge preserving adaptive smoothing filter to the image [37] followed by a morphological gradient operator (Lee et al. [27]) A hysteresis thresholding operation is then applied to produce a binary image from which a set of connected components is extracted. Edge regions are then thinned and assigned to neighboring regions, resulting in a region topology graph in which nodes represent regions and arcs specify region ....
J. Lee, R. Haralick, and L Shapiro. Morphologic edge detection. IEEE Journal of Robotics and Automation, RA-3(2):142--155, 1987.
Integrating Qualitative and Quantitative Shape Recovery - Dickinson, Metaxas (1994) (11 citations) (Correct)
....qualitative shape. 4.1.1 Face Recovery The first step to recovering a set of faces is a region segmentation of the input image. We begin by applying Saint Marc, Chen, and Medioni s edge preserving adaptive smoothing filter to the image [26] followed by a morphological gradient operator [16]. A hysteresis thresholding operation is then applied to produce a binary image from which a set of connected components is extracted. Edge regions are then burned away, resulting in a region topology graph in which nodes represent regions and arcs specify region adjacencies. From a region ....
J. Lee, R. Haralick, and L Shapiro. Morphologic edge detection. IEEE Journal of Robotics and Automation, RA-3(2):142--155, 1987.
Unknown - Multi-Scale Morphologic Edge (Correct)
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J. S. J. Lee, R. M. Haralick and L. G. Shapiro, Morphologic edge detection, IEEE rans. on Robotics Automat. 3, 140 ---156 (1987).
Morphological Filtering For Image Enhancement And Feature Detection - Maragos (2005) (Correct)
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J.S.J. Lee, R.M. Haralick and L.G. Shapiro, "Morphologic Edge Detection," IEEE Trans. Rob. Autom., vol.RA-3, pp.142-156, Apr. 1987.
Efficient Dilation, Erosion, Opening and Closing Algorithms - Gil, Kimmel (Correct)
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J. Lee, R. Haralick, and L. Shapiro. Morphologic edge detection. IEEE Journal of Robotics and Automation, 3(3):142--156, 1987.
Fundamentals Of Image Processing - Young, Gerbrands, van Vliet (1995) (6 citations) (Correct)
No context found.
Lee, J.S.L., R.M. Haralick, and L.S. Shapiro. Morphologic Edge Detection. in 8th International Conference on Pattern Recognition. 1986. Paris: IEEE Computer Society.
Object demarcation in CT and MR images of the brain - Davis, Natarajan (Correct)
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Lee, J.S.J., Haralick, R.M. and Shapiro, L.G. (1986) Morphologic Edge Detection, IEEE, pp 369- 373.
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