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CSTGVD8W1B
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. \u201cClassification and Analysis of Morphological Edge Detectors\u201d. 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
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Total Score: 114
Country: India
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: Mohammed Aslam.C, Dr. Satya Narayana.D, Dr. Padma Priya.K, Murali.M (PhD/Dr. count: 2)
View Count (all-time): 297
Total Views (Real + Logic): 9726
Total Downloads (simulated): 2355
Publish Date: 2013 06, Sat
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This study aims to comprehensively analyse the complex interplay between
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