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Color Image Segmentation using Region Growth and Merge Improved Technique

A.V. Anjikar1 , K. Ramteke2 , S. Chauvan3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 1070-1072, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.10701072

Online published on Mar 31, 2019

Copyright © A.V. Anjikar, K. Ramteke, S. Chauvan . 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: A.V. Anjikar, K. Ramteke, S. Chauvan, “Color Image Segmentation using Region Growth and Merge Improved Technique,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.1070-1072, 2019.

MLA Style Citation: A.V. Anjikar, K. Ramteke, S. Chauvan "Color Image Segmentation using Region Growth and Merge Improved Technique." International Journal of Computer Sciences and Engineering 7.3 (2019): 1070-1072.

APA Style Citation: A.V. Anjikar, K. Ramteke, S. Chauvan, (2019). Color Image Segmentation using Region Growth and Merge Improved Technique. International Journal of Computer Sciences and Engineering, 7(3), 1070-1072.

BibTex Style Citation:
@article{Anjikar_2019,
author = {A.V. Anjikar, K. Ramteke, S. Chauvan},
title = {Color Image Segmentation using Region Growth and Merge Improved Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {1070-1072},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3967},
doi = {https://doi.org/10.26438/ijcse/v7i3.10701072}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.10701072}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3967
TI - Color Image Segmentation using Region Growth and Merge Improved Technique
T2 - International Journal of Computer Sciences and Engineering
AU - A.V. Anjikar, K. Ramteke, S. Chauvan
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 1070-1072
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Image segmentation is a very challenging task in digital image processing field. It is defined as the process of takeout objects from an image by dividing it into different regions where regions that depicts some information are called objects. There are different types of image segmentation algorithms. The segmentation process depends upon the type of description required for an application for which segmentation is to be performed. Hence, there is no universally accepted segmentation algorithm. This method is applied to many color images and experimental results show the effectiveness of the method.

Key-Words / Index Term

image segmentation, edge detection, smoothness, seed selection, region growing, region merging

References

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