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Review Paper on Segmentation of Color Image using Morphological Processing

Sameer Kumar Sharma1 , Bharti Chourasia2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 276-279, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.276279

Online published on Jul 31, 2019

Copyright © Sameer Kumar Sharma, Bharti Chourasia . 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: Sameer Kumar Sharma, Bharti Chourasia, “Review Paper on Segmentation of Color Image using Morphological Processing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.276-279, 2019.

MLA Style Citation: Sameer Kumar Sharma, Bharti Chourasia "Review Paper on Segmentation of Color Image using Morphological Processing." International Journal of Computer Sciences and Engineering 7.7 (2019): 276-279.

APA Style Citation: Sameer Kumar Sharma, Bharti Chourasia, (2019). Review Paper on Segmentation of Color Image using Morphological Processing. International Journal of Computer Sciences and Engineering, 7(7), 276-279.

BibTex Style Citation:
@article{Sharma_2019,
author = {Sameer Kumar Sharma, Bharti Chourasia},
title = {Review Paper on Segmentation of Color Image using Morphological Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {276-279},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4759},
doi = {https://doi.org/10.26438/ijcse/v7i7.276279}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.276279}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4759
TI - Review Paper on Segmentation of Color Image using Morphological Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Sameer Kumar Sharma, Bharti Chourasia
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 276-279
IS - 7
VL - 7
SN - 2347-2693
ER -

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Abstract

Image Segmentation plays vital role in Computer Vision and Digital Image Processing. It is the process of separating the digital image into distinct region (s) possessing homogeneous properties. The main objective of image segmentation is to extract various features of the image that are used for analyzing, interpretation and understanding of images. Image segmentation is applied in various applications like medical imaging, shape detection, content-based image retrieval, robot vision, etc. Several techniques have been developed for image segmentation such as pixel-based segmentation, edge based segmentation and region based segmentation. In this paper, segmentation technique is defined using the edge detection and morphological operations. Edge detection is done using Fuzzy Canny method for better output. After detecting the edges of image, segmentation is done using morphological operation. This gives better results.

Key-Words / Index Term

Dilation, Morphology, Erosion

References

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