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Linear Extraction of Satellite Imageries using Mathematical Morphology

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Abstract

The methodology used in this paper is based on the use ofmorphological operators contained in toolbox of MathematicalMorphology developed in the software MATLAB. Theapplication of routines in image processing is aimed initially toimprove the visual quality of the features of interest in digitalgrayscale images, which will then afterwards be extracted.Increasingly seeking to get improvement in quality of theextracted feature, the image was binarized through the binaryoperator with threshold. Methodology adapted to skeletonscanned images using Mathematical Morphology from remotelysensed data is a challenging issue in the field of digital imageprocessing. Image skeletonization is one of the manymorphological image processing operations. skeletonization isvery often an intermediate step towards object recognition, itshould have a low computational cost. Literature about abovesaid methodology is also mentioned in this paper.

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Susan Mayhew 1997. Dictionary of Geography.Oxford University Press. [13] J. R. Munkres 1993.Elements of Algebraic Topology. Perseus Press.
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  • Ii Richarde
Alan Peters II Richard 2007. Lecture Notes on Mathematical Morphology EECE/CS 253 image Processing. Department of Electrical Engineering and Computer science,Vanderbilt University School of Engineering San Francisco, California,pp-11,18,25.(Fig of D,E).