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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.
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).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 154
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: Mohammed Aslam.C, Dr. Satya Narayana.D, Dr. Padma Priya.K, Murali.M (PhD/Dr. count: 2)
View Count (all-time): 391
Total Views (Real + Logic): 2995
Total Downloads (simulated): 237
Publish Date: 2013 01, Tue
Monthly Totals (Real + Logic):
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