Hierarchical edge detector using the first- and second-derivative operators

Rolf Schuster; Nirwan Ansari; Ali R. Bani-Hashemi

Hierarchical edge detector using the first- and second-derivative operators

Rolf Schuster, Nirwan Ansari, Ali R. Bani-Hashemi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a new method for edge detection by combining the Sobel operator and the Laplacian of Gaussian (LoG) operator. The underlying idea is to combine the advantages of both operators and eliminate their disadvantages. Different methods of combining the two operators are considered. One method yields promising results in precise and blur free edge detection, and good stability versus image noise. A method for designing the LoG kernel is also presented.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Publ by Int Soc for Optical Engineering
Pages	230-241
Number of pages	12
ISBN (Print)	0819410268
State	Published - 1993
Externally published	Yes
Event	Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision - Boston, MA, USA Duration: Nov 16 1992 → Nov 18 1992

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1825
ISSN (Print)	0277-786X

Other

Other	Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
City	Boston, MA, USA
Period	11/16/92 → 11/18/92

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

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title = "Hierarchical edge detector using the first- and second-derivative operators",

abstract = "This paper presents a new method for edge detection by combining the Sobel operator and the Laplacian of Gaussian (LoG) operator. The underlying idea is to combine the advantages of both operators and eliminate their disadvantages. Different methods of combining the two operators are considered. One method yields promising results in precise and blur free edge detection, and good stability versus image noise. A method for designing the LoG kernel is also presented.",

author = "Rolf Schuster and Nirwan Ansari and Bani-Hashemi, {Ali R.}",

year = "1993",

language = "English (US)",

isbn = "0819410268",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "Publ by Int Soc for Optical Engineering",

pages = "230--241",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision ; Conference date: 16-11-1992 Through 18-11-1992",

}

Schuster, R, Ansari, N & Bani-Hashemi, AR 1993, Hierarchical edge detector using the first- and second-derivative operators. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1825, Publ by Int Soc for Optical Engineering, pp. 230-241, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, Boston, MA, USA, 11/16/92.

Hierarchical edge detector using the first- and second-derivative operators. / Schuster, Rolf; Ansari, Nirwan; Bani-Hashemi, Ali R.
Proceedings of SPIE - The International Society for Optical Engineering. Publ by Int Soc for Optical Engineering, 1993. p. 230-241 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1825).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Hierarchical edge detector using the first- and second-derivative operators

AU - Schuster, Rolf

AU - Ansari, Nirwan

AU - Bani-Hashemi, Ali R.

PY - 1993

Y1 - 1993

N2 - This paper presents a new method for edge detection by combining the Sobel operator and the Laplacian of Gaussian (LoG) operator. The underlying idea is to combine the advantages of both operators and eliminate their disadvantages. Different methods of combining the two operators are considered. One method yields promising results in precise and blur free edge detection, and good stability versus image noise. A method for designing the LoG kernel is also presented.

AB - This paper presents a new method for edge detection by combining the Sobel operator and the Laplacian of Gaussian (LoG) operator. The underlying idea is to combine the advantages of both operators and eliminate their disadvantages. Different methods of combining the two operators are considered. One method yields promising results in precise and blur free edge detection, and good stability versus image noise. A method for designing the LoG kernel is also presented.

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M3 - Conference contribution

AN - SCOPUS:0027188339

SN - 0819410268

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 230

EP - 241

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Publ by Int Soc for Optical Engineering

T2 - Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision

Y2 - 16 November 1992 through 18 November 1992

ER -

Hierarchical edge detector using the first- and second-derivative operators

Abstract

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Other

All Science Journal Classification (ASJC) codes

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