Results 211 to 220 of about 323,476 (264)
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Pattern Recognition, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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Procedings of the Alvey Vision Conference 1989, 1989
This paper discusses the poor performance of the Canny edge detector at junctions formed by three edges, where connectivity is usually destroyed in an arbitrary way. This problem is shown to be due to the non-maximal suppression algorithm, used to identify points of inflection in the grey-level surface.
Li Du +2 more
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This paper discusses the poor performance of the Canny edge detector at junctions formed by three edges, where connectivity is usually destroyed in an arbitrary way. This problem is shown to be due to the non-maximal suppression algorithm, used to identify points of inflection in the grey-level surface.
Li Du +2 more
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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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Computer Graphics and Image Processing, 1980
Publisher Summary This chapter discusses the problem of detecting edges in cellular textures. Detecting edges is an important first step in the solution of many image analysis tasks. Edges are used primarily to aid in the segmentation of an image into meaningful regions, but they are also extensively used to compute relatively local measures of ...
LARRY S. DAVIS, AMAR MITICHE
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Publisher Summary This chapter discusses the problem of detecting edges in cellular textures. Detecting edges is an important first step in the solution of many image analysis tasks. Edges are used primarily to aid in the segmentation of an image into meaningful regions, but they are also extensively used to compute relatively local measures of ...
LARRY S. DAVIS, AMAR MITICHE
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A Cooperating Edge Grammar for Edge Detection
1997Edge detection is a fundamental process in many low-level vision algorithms. It generates a concise and a compact description of the image structure, suitable for manipulation in computer vision tasks. In this paper we describe an application of Cellular Automata to the reconstruction of edges in an image.
G. Adorni +2 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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Fourth International Conference on Information Technology (ITNG'07), 2007
The purpose of this paper is to develop an algorithm for denoising images corrupted with additive white Gaussian noise (AWGN) with a view to extract object's boundary. The noise degrades quality of the images and makes interpretations, analysis and segmentation of images harder.
Muhammad Saleem 0006 +2 more
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The purpose of this paper is to develop an algorithm for denoising images corrupted with additive white Gaussian noise (AWGN) with a view to extract object's boundary. The noise degrades quality of the images and makes interpretations, analysis and segmentation of images harder.
Muhammad Saleem 0006 +2 more
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Proceedings of the Royal Society of London. Series B. Biological Sciences, 1980
Abstract A theory of edge detection is presented. The analysis proceeds in two parts. (1) Intensity changes, which occur in a natural image over a wide range of scales, are detected separately at different scales. An appropriate filter for this purpose at a given scale is found to be the second derivative of a Gaussian, and it is ...
D, Marr, E, Hildreth
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Abstract A theory of edge detection is presented. The analysis proceeds in two parts. (1) Intensity changes, which occur in a natural image over a wide range of scales, are detected separately at different scales. An appropriate filter for this purpose at a given scale is found to be the second derivative of a Gaussian, and it is ...
D, Marr, E, Hildreth
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IEEE Transactions on Systems, Man, and Cybernetics, 1985
The performances of three classes of edge operators are evaluated. The three are conventional 3×3 operators with a connectivity test, sequential edge detectors using both edge strength and direction information, and edge detectors using large masks. Implementations of the sequential edge operators using both the edge strength and direction information ...
Edward J. Delp, Chee-Hung Henry Chu
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The performances of three classes of edge operators are evaluated. The three are conventional 3×3 operators with a connectivity test, sequential edge detectors using both edge strength and direction information, and edge detectors using large masks. Implementations of the sequential edge operators using both the edge strength and direction information ...
Edward J. Delp, Chee-Hung Henry Chu
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