Improving edge detection by an objective edge evaluation

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationApplied Computing
Subtitle of host publicationTechnological Challenges of the 1990's
PublisherPubl by ACM
Pages459-468
Number of pages10
ISBN (Print)089791502X, 9780897915021
DOIs
StatePublished - 1992
EventProceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92 - Kansas City, KS, USA
Duration: Mar 1 1992Mar 3 1992

Publication series

NameApplied Computing: Technological Challenges of the 1990's

Other

OtherProceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92
CityKansas City, KS, USA
Period3/1/923/3/92

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Zhu, Q. (1992). Improving edge detection by an objective edge evaluation. In Applied Computing: Technological Challenges of the 1990's (pp. 459-468). (Applied Computing: Technological Challenges of the 1990's). Publ by ACM. https://doi.org/10.1145/143559.143676