Classification and Analysis of Morphological Edge Detectors

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Classification and Analysis of  Morphological Edge Detectors

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Abstract

In this paper we critically examine various morphologic edge detectors, the methods they apply, their orientation in detecting the edges accurately and to raise the de-noising capacity. Comparative analysis of these edge detectors reveals the various advantages and disadvantages of one approach over the other.

References

7 Cites in Article
  1. R Stanley,Sternberg (1986). Grayscale Morphology.
  2. Haralik,Zuhan Strenberg Image Analysis Using Mathematical Morphology.
  3. S Strenberg Gray-Scale Morphology.
  4. Haralik Lee,Shapiro (1987). Morphologic Edge Detection.
  5. Zhenhua Li,Yingping Yang,Wei Jiang (2007). Multi-scale Morphologic Tracking Approach for Edge Detection.
  6. B Malay Kondu,Y Chanda,Vani,Padmaja (1998). Edge Detection with Multi-Scale Approach.
  7. Xianfeng Yang,Yang Yang,Chun Cui,Yang Wang (2010). A Study of Morphological Edge Detector by Multidirectional Structuring Element.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohammed Aslam.C. 2013. "Classification and Analysis of Morphological Edge Detectors". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F5).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-F Classification I.4.6
Version of record

v1.2

Issue date
June 29, 2013

Language
English
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Classification and Analysis of Morphological Edge Detectors

Mohammed Aslam.C
Mohammed Aslam.C VAAGDEVI INSTITUTE OF TECHNOLOGY AND SCIENCE, PRODDATUR.