Results 221 to 230 of about 303,248 (261)
Some of the next articles are maybe not open access.
Pattern Recognition, 2003
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Zujun Hou, T. S. Koh
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zujun Hou, T. S. Koh
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Omnidirectional edge detection
Computer Vision and Image Understanding, 2009In this paper we propose a new method for extending 1-D step edge detection filters to two dimensions via complex-valued filtering. Complex-valued filtering allows us to obtain edge magnitude and direction simultaneously. Our method can be viewed either as an extension of n-directional complex filtering of Paplinski to infinite directions or as a ...
Sayed Kamaledin Ghiasi Shirazi +1 more
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IEEE Transactions on Image Processing, 1994
The paper presents a new parametric model-based approach to high-precision composite edge detection using orthogonal Zernike moment-based operators. It deals with two types of composite edges: (a) generalized step and (b) pulse/staircase edges. A 2-D generalized step edge is modeled in terms of five parameters: two gradients on two sides of the edge ...
Sugata Ghosal, Rajiv Mehrotra
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The paper presents a new parametric model-based approach to high-precision composite edge detection using orthogonal Zernike moment-based operators. It deals with two types of composite edges: (a) generalized step and (b) pulse/staircase edges. A 2-D generalized step edge is modeled in terms of five parameters: two gradients on two sides of the edge ...
Sugata Ghosal, Rajiv Mehrotra
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Graphical Models and Image Processing, 1996
Abstract Most of the research in edge detection until now has been based on the classical noisy mono-edge model. In the present paper, we address the noisy multi-edge detection problem. After introducing an elementary noisy multi-edge model, we first propose and analyze a multi-edge model described by the sum of two stationary stochastic processes ...
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Abstract Most of the research in edge detection until now has been based on the classical noisy mono-edge model. In the present paper, we address the noisy multi-edge detection problem. After introducing an elementary noisy multi-edge model, we first propose and analyze a multi-edge model described by the sum of two stationary stochastic processes ...
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2005
In this paper, the Mumford-Shah (MS) model and its variations are studied for image segmentation. It is found that using the piecewise constant approximation, we cannot detect edges with low contrast. Therefore other terms, such as gradient and Laplacian, are included in the models. To simplify the problem, the gradient of the original image is used in
Qinghui Zhang +2 more
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In this paper, the Mumford-Shah (MS) model and its variations are studied for image segmentation. It is found that using the piecewise constant approximation, we cannot detect edges with low contrast. Therefore other terms, such as gradient and Laplacian, are included in the models. To simplify the problem, the gradient of the original image is used in
Qinghui Zhang +2 more
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ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
It has been observed that the edge detection problem in image processing is ill-posed. The ill-posed aspect of this problem is the differentiation step, which is an explicit operation in many schemes for finding edges in images. Differentiation is very sensitive to noise and its discrete version is an ill-conditioned operation.
Aggelos K. Katsaggelos +1 more
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It has been observed that the edge detection problem in image processing is ill-posed. The ill-posed aspect of this problem is the differentiation step, which is an explicit operation in many schemes for finding edges in images. Differentiation is very sensitive to noise and its discrete version is an ill-conditioned operation.
Aggelos K. Katsaggelos +1 more
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Computer Vision, Graphics, and Image Processing, 1988
Abstract This paper discusses the design of the efficient edge detection operators. The need for such operators is reviewed and a set of design and performance criteria are developed. These criteria are then used to evaluate existing edge detection techniques as well as to suggest new approaches to the edge detection problem.
Gerard F. McLean, M. E. Jernigan
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Abstract This paper discusses the design of the efficient edge detection operators. The need for such operators is reviewed and a set of design and performance criteria are developed. These criteria are then used to evaluate existing edge detection techniques as well as to suggest new approaches to the edge detection problem.
Gerard F. McLean, M. E. Jernigan
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[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003
A feature detector is described that bases its research on a set of probability distributions that describe the situations in which the feature can be found. The result is a measure of the probability of the feature occurring at a particular point.
W. J. C. Witts, G. P. Otto
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A feature detector is described that bases its research on a set of probability distributions that describe the situations in which the feature can be found. The result is a measure of the probability of the feature occurring at a particular point.
W. J. C. Witts, G. P. Otto
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Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 2006
This paper proposes a wavelet based multilevel edge detection method that exploites spline dyadic wavelets and a frame work similar that of Canny’s edge detector [2]. Using the recently proposed dyadic lifting schemes by Turghunjan et al [1], spline dyadic wavelet filters have been constructed, which are characterized by higher order of regularity and ...
Muhammad Hussain 0001 +3 more
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This paper proposes a wavelet based multilevel edge detection method that exploites spline dyadic wavelets and a frame work similar that of Canny’s edge detector [2]. Using the recently proposed dyadic lifting schemes by Turghunjan et al [1], spline dyadic wavelet filters have been constructed, which are characterized by higher order of regularity and ...
Muhammad Hussain 0001 +3 more
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Edge detection is a projection
Pattern Recognition Letters, 1989A desirable property of any edge detector is that it be a projection in the mathematical sense, that is, that when it is applied to its own output it produces no further change. This report examines the behaviour of some conventional and some new operators when applied to line-drawings.
Robyn A. Owens +2 more
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