Classification and Analysis of Morphological Edge Detectors

Authors

  • Mohammed Aslam.C

Keywords:

edge detector, de-noising capacity, orientation, mathematical morphology, edge accuracy

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.

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How to Cite

Mohammed Aslam.C. (2013). Classification and Analysis of Morphological Edge Detectors. Global Journal of Computer Science and Technology, 13(F5), 23–25. Retrieved from https://computerresearch.org/index.php/computer/article/view/176

 
Classification and Analysis of Morphological Edge Detectors

Published

2013-03-15

Issue

Vol. 13 No. F5 (2013): GJCST-F Graphics and Vision: Volume 13 Issue F5

Section

Articles

License

Copyright (c) 2013 Authors and Global Journals Private Limited

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.