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A Comparative Study on Image Segmentation Techniques

Balpreet Kaur1 , Prabhpreet Kaur2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-12 , Page no. 50-56, Dec-2015

Online published on Dec 31, 2015

Copyright © Balpreet Kaur , Prabhpreet Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Balpreet Kaur , Prabhpreet Kaur, “A Comparative Study on Image Segmentation Techniques,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.12, pp.50-56, 2015.

MLA Style Citation: Balpreet Kaur , Prabhpreet Kaur "A Comparative Study on Image Segmentation Techniques." International Journal of Computer Sciences and Engineering 3.12 (2015): 50-56.

APA Style Citation: Balpreet Kaur , Prabhpreet Kaur, (2015). A Comparative Study on Image Segmentation Techniques. International Journal of Computer Sciences and Engineering, 3(12), 50-56.

BibTex Style Citation:
@article{Kaur_2015,
author = {Balpreet Kaur , Prabhpreet Kaur},
title = {A Comparative Study on Image Segmentation Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2015},
volume = {3},
Issue = {12},
month = {12},
year = {2015},
issn = {2347-2693},
pages = {50-56},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=739},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=739
TI - A Comparative Study on Image Segmentation Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Balpreet Kaur , Prabhpreet Kaur
PY - 2015
DA - 2015/12/31
PB - IJCSE, Indore, INDIA
SP - 50-56
IS - 12
VL - 3
SN - 2347-2693
ER -

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Abstract

Image segmentation is the first step from image processing to image analysis. Image segmentation is the partition of image into multiple segments to have clear distinction between object and background of image. In existing method, in order to obtain threshold accurately, discrete wavelet transform (DWT) method is used which decompose the image into four sub-bands via high and low pass filters. To determine threshold value, Otsu’s method is applied on low pass filter and on high pass filter edge enhancement is implemented. The overall objective of this paper is to review the image segmentation techniques and find their limitations.

Key-Words / Index Term

Image Segmentation, gray stretch, fuzzy c- means

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