Research Article

Article:Linear Extraction of Satellite Imageries using Mathematical Morphology

by  Ms.Neeti Daryal, Dr. Vinod Kumar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Issue 3
Published: June 2010
Authors: Ms.Neeti Daryal, Dr. Vinod Kumar
10.5120/717-1009
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Ms.Neeti Daryal, Dr. Vinod Kumar . Article:Linear Extraction of Satellite Imageries using Mathematical Morphology. International Journal of Computer Applications. 3, 3 (June 2010), 5-9. DOI=10.5120/717-1009

                        @article{ 10.5120/717-1009,
                        author  = { Ms.Neeti Daryal,Dr. Vinod Kumar },
                        title   = { Article:Linear Extraction of Satellite Imageries using Mathematical Morphology },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 3 },
                        number  = { 3 },
                        pages   = { 5-9 },
                        doi     = { 10.5120/717-1009 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Ms.Neeti Daryal
                        %A Dr. Vinod Kumar
                        %T Article:Linear Extraction of Satellite Imageries using Mathematical Morphology%T 
                        %J International Journal of Computer Applications
                        %V 3
                        %N 3
                        %P 5-9
                        %R 10.5120/717-1009
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The methodology used in this paper is based on the use of morphological operators contained in toolbox of Mathematical Morphology developed in the software MATLAB. The application of routines in image processing is aimed initially to improve the visual quality of the features of interest in digital grayscale images, which will then afterwards be extracted. Increasingly seeking to get improvement in quality of the extracted feature, the image was binarized through the binary operator with threshold. Methodology adapted to skeleton scanned images using Mathematical Morphology from remotely sensed data is a challenging issue in the field of digital image processing. Image skeletonization is one of the many morphological image processing operations. skeletonization is very often an intermediate step towards object recognition, it should have a low computational cost. Literature about above said methodology is also mentioned in this paper.

References
Index Terms
Computer Science
Information Sciences
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Keywords

Linear Extraction Morphology

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