Implementing Mathematical Morphology Techniques to Detect Cracks in Underground Pipeline Images Automatically

Authors

  • A. Prema Karpagam University
  • M. V. Ramana Murthy

Keywords:

Defect detection technology, Dilation, Erosion, LinearFilters, Mathematical Morphology, Structuring Element(SE), Opening& Closing, PIG.

Abstract

An oil pipe buried under needs to be checked for their current quality before oil transportation takes place through it. The method involved for all these days were manual using

Author Biography

A. Prema, Karpagam University

Computer Science,Assistant Professor

References

WSJ.

Jean Serra.An introduction to Mathematical Morphology.1994,pp. 369-374.

S.Tannenbaum.Computer networks.Chap 2,McGraw Hill Publishing.India.2001,pp 14-89,672-689

DivyenduSinha.Fuzzy mathematical morphology.Journal visual communication and image representation.

vol 3.issue 3.1992.,pp 286-302

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Published

2014-03-30

How to Cite

Prema, A., & Murthy, M. V. R. (2014). Implementing Mathematical Morphology Techniques to Detect Cracks in Underground Pipeline Images Automatically. International Journal of Sciences: Basic and Applied Research (IJSBAR), 13(1), 351–356. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/1966

Issue

Vol. 13 No. 1 (2014)

Section

Articles

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