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Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region

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IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 3
Year of Publication: 2012
Authors:
Hari Kumar Singh
Pooja Singh
Khushboo Singh

Hari Kumar Singh, Pooja Singh and Khushboo Singh. Article: Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(3):7-10, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Hari Kumar Singh and Pooja Singh and Khushboo Singh},
	title = {Article: Morphological Segmentation and Gradient of Multispectral Image of Bareilly Region},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {3},
	pages = {7-10},
	month = {May},
	note = {Full text available}
}

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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