Review Paper on Segmentation of Color Image using Morphological Processing

Authors

  • Sharma SK Department of Electronics and Communication, RKDF Institute of Science & Technology, SRK University, Bhopal
  • Chourasia B Department of Electronics and Communication, RKDF Institute of Science & Technology, SRK University, Bhopal

DOI:

https://doi.org/10.26438/ijcse/v7i7.276279

Keywords:

Dilation, Morphology, Erosion

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.

References

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Published

2019-07-31
CITATION
DOI: 10.26438/ijcse/v7i7.276279
Published: 2019-07-31

How to Cite

[1]
S. K. Sharma and B. Chourasia, “Review Paper on Segmentation of Color Image using Morphological Processing”, Int. J. Comp. Sci. Eng., vol. 7, no. 7, pp. 276–279, Jul. 2019.

Issue

Vol. 7 No. 7 (2019): IJCSE July Edition

Section

Review Article

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