Results 211 to 220 of about 303,248 (261)
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IEEE Journal on Robotics and Automation, 1986
Edge operators based on gray-scale morphologic operations are introduced. These operators can be efficiently implemented in near real time machine vision systems which have special hardware support for gray-scale morphologic operations. The simplest morphologic edge detectors are the dilation residue and erosion residue operators.
James S. J. Lee +2 more
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Edge operators based on gray-scale morphologic operations are introduced. These operators can be efficiently implemented in near real time machine vision systems which have special hardware support for gray-scale morphologic operations. The simplest morphologic edge detectors are the dilation residue and erosion residue operators.
James S. J. Lee +2 more
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MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM), 2017
Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Joseph Schneible, Alex Lu
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Anomaly detection is the process of identifying unusual signals in a set of observations. This is a vital task in a variety of fields including cybersecurity and the battlefield. In many scenarios, observations are gathered from a set of distributed mobile or small form factor devices.
Joseph Schneible, Alex Lu
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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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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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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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Edge Detection in fingerprints
Pattern Recognition, 1987Abstract A suitable method for ridge detection in fingerprint is presented in this paper. This proposed method blends some of the results developed in image enhancement and edge detection literature to minimize the effect of noise.
M. R. Verma +2 more
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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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Pattern Recognition Letters, 1985
The detection of visually significant edges and boundaries in a natural color image is complicated by inherent noise and correlation between color coordinates. In this letter we present a color edge detector which uses fuzzy set theory to model this imprecision.
Terrance L. Huntsberger, M. F. Descalzi
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The detection of visually significant edges and boundaries in a natural color image is complicated by inherent noise and correlation between color coordinates. In this letter we present a color edge detector which uses fuzzy set theory to model this imprecision.
Terrance L. Huntsberger, M. F. Descalzi
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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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Computer Graphics and Image Processing, 1982
A technique requiring only two frames is presented for finding time-varying edges in a dynamic scene. The frames need not be contiguous. The proposed operator picks up moving edge points which are not easily detected with simple static edge operators. The operator includes both change and edge detection in a way that improves overall performance.
Susan M. Haynes, Ramesh C. Jain
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A technique requiring only two frames is presented for finding time-varying edges in a dynamic scene. The frames need not be contiguous. The proposed operator picks up moving edge points which are not easily detected with simple static edge operators. The operator includes both change and edge detection in a way that improves overall performance.
Susan M. Haynes, Ramesh C. Jain
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