Improving edge detection by an objective edge evaluation

Qiuming Zhu

doi:10.1145/143559.143676

Improving edge detection by an objective edge evaluation

Qiuming Zhu

Computer Science

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

6 Scopus citations

Abstract

Edge detection is conventionally performed in an open-loop system. No feedback from the outcome of the detection operation is provided. The quality of the resulting edge image, thus, tends to be uncontrollable. The performance of edge detection can be improved by conducting the operation in a closed-loop system. This system performs an on-line objective edge evaluation. The evaluation process computes a set of edge metrics for the resulting image. An overall edge strength measurement of the image is obtained. No a priori knowledge about the edge distributions in the image is required for the measurement. Feedback of the evaluation adjusts, or guides the adjustment of, the edge operator parameters, thus improving the quality of the resulting edge images.

Original language	English (US)
Title of host publication	Applied Computing
Subtitle of host publication	Technological Challenges of the 1990's
Publisher	Publ by ACM
Pages	459-468
Number of pages	10
ISBN (Print)	089791502X, 9780897915021
DOIs	https://doi.org/10.1145/143559.143676
State	Published - 1992
Event	Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92 - Kansas City, KS, USA Duration: Mar 1 1992 → Mar 3 1992

Publication series

Name	Applied Computing: Technological Challenges of the 1990's

Other

Other	Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92
City	Kansas City, KS, USA
Period	3/1/92 → 3/3/92

ASJC Scopus subject areas

General Engineering

Access to Document

10.1145/143559.143676

Cite this

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title = "Improving edge detection by an objective edge evaluation",

abstract = "Edge detection is conventionally performed in an open-loop system. No feedback from the outcome of the detection operation is provided. The quality of the resulting edge image, thus, tends to be uncontrollable. The performance of edge detection can be improved by conducting the operation in a closed-loop system. This system performs an on-line objective edge evaluation. The evaluation process computes a set of edge metrics for the resulting image. An overall edge strength measurement of the image is obtained. No a priori knowledge about the edge distributions in the image is required for the measurement. Feedback of the evaluation adjusts, or guides the adjustment of, the edge operator parameters, thus improving the quality of the resulting edge images.",

author = "Qiuming Zhu",

year = "1992",

doi = "10.1145/143559.143676",

language = "English (US)",

isbn = "089791502X",

series = "Applied Computing: Technological Challenges of the 1990's",

publisher = "Publ by ACM",

pages = "459--468",

booktitle = "Applied Computing",

note = "Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92 ; Conference date: 01-03-1992 Through 03-03-1992",

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AU - Zhu, Qiuming

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Y1 - 1992

N2 - Edge detection is conventionally performed in an open-loop system. No feedback from the outcome of the detection operation is provided. The quality of the resulting edge image, thus, tends to be uncontrollable. The performance of edge detection can be improved by conducting the operation in a closed-loop system. This system performs an on-line objective edge evaluation. The evaluation process computes a set of edge metrics for the resulting image. An overall edge strength measurement of the image is obtained. No a priori knowledge about the edge distributions in the image is required for the measurement. Feedback of the evaluation adjusts, or guides the adjustment of, the edge operator parameters, thus improving the quality of the resulting edge images.

AB - Edge detection is conventionally performed in an open-loop system. No feedback from the outcome of the detection operation is provided. The quality of the resulting edge image, thus, tends to be uncontrollable. The performance of edge detection can be improved by conducting the operation in a closed-loop system. This system performs an on-line objective edge evaluation. The evaluation process computes a set of edge metrics for the resulting image. An overall edge strength measurement of the image is obtained. No a priori knowledge about the edge distributions in the image is required for the measurement. Feedback of the evaluation adjusts, or guides the adjustment of, the edge operator parameters, thus improving the quality of the resulting edge images.

UR - http://www.scopus.com/inward/record.url?scp=0026960659&partnerID=8YFLogxK

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U2 - 10.1145/143559.143676

DO - 10.1145/143559.143676

M3 - Conference contribution

AN - SCOPUS:0026960659

SN - 089791502X

SN - 9780897915021

T3 - Applied Computing: Technological Challenges of the 1990's

SP - 459

EP - 468

BT - Applied Computing

PB - Publ by ACM

T2 - Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92

Y2 - 1 March 1992 through 3 March 1992

ER -

Improving edge detection by an objective edge evaluation

Abstract

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