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A Perlustration of Various Image Segmentation Techniques

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Sonam Mandiratta, Pooja Batra Nagpal, Sarika Chaudhary
10.5120/ijca2016909490

Sonam Mandiratta, Pooja Batra Nagpal and Sarika Chaudhary. Article: A Perlustration of Various Image Segmentation Techniques. International Journal of Computer Applications 139(12):26-31, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Sonam Mandiratta and Pooja Batra Nagpal and Sarika Chaudhary},
	title = {Article: A Perlustration of Various Image Segmentation Techniques},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {12},
	pages = {26-31},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Image segmentation plays the main role in image processing. Segmentation defines as a process of splitting an image into multiple parts or multiple regions in order to analyze them. The aim of segmentation is to modify an image in such a way so that it can easy to analyze as well as understand. To analyze the different type of an Image in image processing, image segmentation plays a key step in it. The purpose of segmentation is to find out the meaningful information from an image. Image segmentation is also used to differentiate the various objects that are occurring in an image. Several images Segmentation techniques have been developed due to its importance in image processing. These segmentation techniques are also useful to make an image smooth as well as easy to evaluate. There are many techniques in image segmentation process and these techniques are Edge based, Region based, Thresholding based, ANN based, Fuzzy based, clustering based and watershed based that are discussed in this paper.

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Keywords

Segmentation, Gray Histogram, Gradient, Region Growing, watershed transform, Global and Local thresholding.