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Reseach Article

Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region

Published on May 2012 by Hari Kumar Singh, Pooja Singh, Khushboo Singh
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 3
May 2012
Authors: Hari Kumar Singh, Pooja Singh, Khushboo Singh
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Hari Kumar Singh, Pooja Singh, Khushboo Singh . Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region. National Conference on Recent Trends in Computing. NCRTC, 3 (May 2012), 7-10.

@article{
author = { Hari Kumar Singh, Pooja Singh, Khushboo Singh },
title = { Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 3 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 7-10 },
numpages = 4,
url = { /proceedings/ncrtc/number3/6529-1019/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Hari Kumar Singh
%A Pooja Singh
%A Khushboo Singh
%T Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 3
%P 7-10
%D 2012
%I International Journal of Computer Applications
Abstract

Segmentation is the process of partitioning a digital image into multiple segments. The segmentation task consists of extracting the particles from the image under study. Morphology is a technique for the analysis and processing of the geometrical structures based on set theory and random functions. Morphological image processing is a collection of non-linear operations related to the shape or morphology of features in an image. In this paper we have performed morphological segmentation on Multispectral image of Bareilly region. A multispectral image is one that captures image data at specific frequencies across the electromagnetic spectrum. The four basic morphological operations used in the segmentation of multispectral images are (a) dilation, (b) erosion, (c)opening, (d)closing. After performing all the basic operations of morphological segmentation, we obtained the direction gradient of the multispectral image of bareilly region on Matlab software of version R2010b.

References
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  4. Luc Vincent, Edward R. Dougherty, "Morphological Segmentation for Textures and particles".
  5. Mathematical Morphology and Its Applications to Image Processing, J. Serra and P. Soille (Eds. ), proceedings of the 2nd international symposium on mathematical morphology (ISMM'94), ISBN 0-7923-3093-5 (1994).
  6. Morphological Image Analysis; Principles and Applications by Pierre Soille, ISBN 3540-65671-5 (1999), 2nd edition (2003).
  7. Jean F. Rivest, Pierre Soille, Serge Beucher, "Morphological gradients".
Index Terms

Computer Science
Information Sciences

Keywords

Structuring Element Erosion Dilation Opening Closing And Gradient