An Operator Which Locates Edges in Digitized Pictures

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An Operator Which Locates Edges in Digitized Pictures

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Journal of the ACM (JACM) archive
Volume 18 , Issue 1 (January 1971) table of contents

Pages: 113 - 125

Year of Publication: 1971

ISSN:0004-5411

Author

Manfred H. Hueckel

Stanford University, Artificial Intelligence Project, Stanford, California

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 9, Downloads (12 Months): 73, Citation Count: 35

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references cited by index terms

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	HUBEL, D. H., AND WIESEL, T .N . Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. 160 (1962), 106-154.
	2	GRAPE, G. R. Computer vision through sequential abstractions. AI-MEMO, Artif. Intel. Proj., Stanford U., Stanford, Calif., June 1969.
	3	Azriel Rosenfeld, Picture Processing by Computer, ACM Computing Surveys (CSUR), v.1 n.3, p.147-176, Sept. 1969 [doi>10.1145/356551.356554]
	4	WICHMaN, W.M. Use of optical feedback in the computer control of an arm. Eng. thesis, Dep. of Eng., Stanford U., Stanford, Calif., Aug. 1967.
	5	ROBERTS, L.G. Machine perception of three-dimensional solids. In Optical and Electro- Optical Processing of Information, MIT Press, Cambridge, Mass., 1965, pp. 159-197.

CITED BY 35

	Azriel Rosenfeld, Progress in Picture Processing: 1969--71, ACM Computing Surveys (CSUR), v.5 n.2, p.81-108, June 1973
	Bruce L. Bullock, Real world scene analysis in perspective, Proceedings of the 1975 annual conference, p.25-28, January 1975
	Arnold K. Griffith, Mathematical Models for Automatic Line Detection, Journal of the ACM (JACM), v.20 n.1, p.62-80, Jan. 1973
	Herbert Freeman, Computer Processing of Line-Drawing Images, ACM Computing Surveys (CSUR), v.6 n.1, p.57-97, March 1974
	P. Meer , B. Georgescu, Edge Detection with Embedded Confidence, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.23 n.12, p.1351-1365, December 2001
	Mark A. Ruzon , Carlo Tomasi, Edge, Junction, and Corner Detection Using Color Distributions, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.23 n.11, p.1281-1295, November 2001
	Manfred H. Hueckel, A Local Visual Operator Which Recognizes Edges and Lines, Journal of the ACM (JACM), v.20 n.4, p.634-647, Oct. 1973
	Wang Jin , Bao Hujun , Zhou Weihua , Peng Qunsheng , Xu Yingqing, Automatic image-based pencil sketch rendering, Journal of Computer Science and Technology, v.17 n.3, p.347-355, May 2002
	Sanjeev Arora , Subhash Khot, Fitting algebraic curves to noisy data, Journal of Computer and System Sciences, v.67 n.2, p.325-340, September 2003
	Y. Wang , S. K. Mitra, Image Representation Using Block Pattern Models and Its Image Processing Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.15 n.4, p.321-336, April 1993
	Michael Brady, Computational Approaches to Image Understanding, ACM Computing Surveys (CSUR), v.14 n.1, p.3-71, March 1982
	Simon Baker , Shree K. Nayar , Hiroshi Murase, Parametric Feature Detection, International Journal of Computer Vision, v.27 n.1, p.27-50, March, 1998
	H. Boerner , H. Stecker, Automated X-Ray Inspection of Aluminum Castings, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.10 n.1, p.79-91, January 1988
	Stephen M. Smith , J. Michael Brady, SUSAN—A New Approach to Low Level Image Processing, International Journal of Computer Vision, v.23 n.1, p.45-78, May 1997
	E. P. Lyvers , O. R. Mitchell , M. L. Akey , A. P. Reeves, Subpixel Measurements Using a Moment-Based Edge Operator, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.12, p.1293-1309, December 1989
	Margaret M. Fleck, Multiple Widths Yield Reliable Finite Differences (Computer Vision), IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.4, p.412-429, April 1992
	Pietro Perona, Deformable Kernels for Early Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.5, p.488-499, May 1995
	Lee A. Iverson , Steven W. Zucker, Logical/Linear Operators for Image Curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.10, p.982-996, October 1995
	Kenji Suzuki , Isao Horiba , Noboru Sugie, Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.25 n.12, p.1582-1596, December 2003
	P. Bouthemy, A Maximum Likelihood Framework for Determining Moving Edges, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.5, p.499-511, May 1989
	E. P. Lyvers , O. R. Mitchell, Precision Edge Contrast and Orientation Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.10 n.6, p.927-937, November 1988
	Sanjeev Arora , Subhash Khot, Fitting algebraic curves to noisy data, Proceedings of the thiry-fourth annual ACM symposium on Theory of computing, May 19-21, 2002, Montreal, Quebec, Canada
	Roland T. Chin , Charles R. Dyer, Model-based recognition in robot vision, ACM Computing Surveys (CSUR), v.18 n.1, p.67-108, March 1986
	K. Seetharaman , R. Krishnamoorthi, A statistical framework based on a family of full range autoregressive models for edge extraction, Pattern Recognition Letters, v.28 n.7, p.759-770, May, 2007
	Joost Van Weijer , Rein Van Boomgaard, Least Squares and Robust Estimation of Local Image Structure, International Journal of Computer Vision, v.64 n.2-3, p.143-155, September 2005
	G. N. Srinivasan , G. Shobha, Segmentation techniques for target recognition, WSEAS Transactions on Computers, v.7 n.10, p.1555-1563, October 2008
	G. N. Srinivasan , G. Shobha, An overview of segmentation techniques for target detection in visual images, Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information, p.511-518, June 24-26, 2008, Bucharest, Romania
	Alper Baştürk , Enis Günay, Efficient edge detection in digital images using a cellular neural network optimized by differential evolution algorithm, Expert Systems with Applications: An International Journal, v.36 n.2, p.2645-2650, March, 2009
	Berthold K. P. Horn, Derivation of invariant scene characteristics from images, Proceedings of the May 19-22, 1980, national computer conference, May 19-22, 1980, Anaheim, California
	Wesley E. Snyder, Automatic visual inspection, Proceedings of the May 19-22, 1975, national computer conference and exposition, May 19-22, 1975, Anaheim, California
	Haiyang Yu , Seizaburo Niitsuma, Detection of Displacement Vectors through Edge Segment Detection, IEICE - Transactions on Information and Systems, v.E91-D n.2, p.234-242, February 2008
	Karl K. Pingle , Jay M. Tenenbaum, An accommodating edge follower, Proceedings of the 2nd international joint conference on Artificial intelligence, p.1-7, September 01-03, 1971, London, England
	Irwin Sobel, On calibrating computer controlled cameras for perceiving 3-D scenes, Proceedings of the 3rd international joint conference on Artificial intelligence, p.646-657, August 20-23, 1973, Stanford, USA
	Ruzena Bajcsy, Computer description of textured surfaces, Proceedings of the 3rd international joint conference on Artificial intelligence, p.572-579, August 20-23, 1973, Stanford, USA
	Genyun Sun , Qinhuo Liu , Qiang Liu , Changyuan Ji , Xiaowen Li, A novel approach for edge detection based on the theory of universal gravity, Pattern Recognition, v.40 n.10, p.2766-2775, October, 2007

INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
I. Computing Methodologies
I.5 PATTERN RECOGNITION

General Terms:
Design, Performance, Theory

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