Results 221 to 230 of about 323,476 (264)
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Edge detection and motion detection
Image and Vision Computing, 1986Abstract This paper presents an integrated theory of edge detection, curvature measurement and motion detection during the earliest stages of visual processing. No assumptions are necessary about the viewed objects or about surface properties and the viewing geometry.
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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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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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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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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 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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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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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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Fuzzy Integrals for Edge Detection
2023This work was partially supported with grant PID2021-123673OB-C31 funded by MCIN/AEI/ 10.13039/501100011033 and by ”ERDF A way of making Europe”, Conseller´ıa d’Innovaci´o, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (APOSTD/2021/227) through the European Social Fund (Investing In Your Future), grant from the Reseach Services of ...
C. Marco-Detchart +8 more
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International Journal of Pattern Recognition and Artificial Intelligence, 1998
The paper describes a technique called ISE for image segmentation using entropy. The relation between the entropy of an image domain and the entropy of its subdomains is explored as a uniformity predicate. Such entropy is obtained from the analysis of the image histogram associating a Gaussian distribution to the maximum frequency of gray levels.
Vitulano, S. +2 more
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The paper describes a technique called ISE for image segmentation using entropy. The relation between the entropy of an image domain and the entropy of its subdomains is explored as a uniformity predicate. Such entropy is obtained from the analysis of the image histogram associating a Gaussian distribution to the maximum frequency of gray levels.
Vitulano, S. +2 more
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