Efficient 2-D Structuring Element for Noise Removal of Grayscale Images using Morphological Operations

Mangala A. G.; Balasubramani R.

Research Article

Efficient 2-D Structuring Element for Noise Removal of Grayscale Images using Morphological Operations

by Mangala A. G., Balasubramani R.

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 143 - Issue 6

Published: Jun 2016

Authors: Mangala A. G., Balasubramani R.

10.5120/ijca2016910188

PDF

Mangala A. G., Balasubramani R. . Efficient 2-D Structuring Element for Noise Removal of Grayscale Images using Morphological Operations. International Journal of Computer Applications. 143, 6 (Jun 2016), 24-28. DOI=10.5120/ijca2016910188

                        @article{ 10.5120/ijca2016910188,
                        author  = { Mangala A. G.,Balasubramani R. },
                        title   = { Efficient 2-D Structuring Element for Noise Removal of Grayscale Images using Morphological Operations },
                        journal = { International Journal of Computer Applications },
                        year    = { 2016 },
                        volume  = { 143 },
                        number  = { 6 },
                        pages   = { 24-28 },
                        doi     = { 10.5120/ijca2016910188 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2016
                        %A Mangala A. G.
                        %A Balasubramani R.
                        %T Efficient 2-D Structuring Element for Noise Removal of Grayscale Images using Morphological Operations%T 
                        %J International Journal of Computer Applications
                        %V 143
                        %N 6
                        %P 24-28
                        %R 10.5120/ijca2016910188
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

Mathematical morphological (MM) operations plays vital role in image processing and in enhancing the region of shape. Especially the application of basic morphological operations is used in enhancing the image quality. This paper describes an experiment with morphological operations for reducing the salt-and- pepper noise from the images of bacteria. The quality of enhanced images is measured based on image quality assessment operations. Experiment's results are given in comparison with various 2D-flat Structuring Element(SE).

References

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Mathematical morphology Structuring element Lactococcus.