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  Authors

Joanna Mota,Maruska Mascarenhas

  Keywords

Medical Images, Image Processing, Image Segmentation, Thresholding, Clustering Segmentation, Watershed Segmentation, Edge-based Segmentation

  Abstract


Medical Images play a crucial role in disease diagnosis. Image segmentation is the process by which a digital image is partitioned into multiple segments (sets of pixels). The main purpose of image segmentation is to simplify the representation of an image so that it becomes easier when it comes to further image analysis, visualization, object representation, and other image processing tasks. Any type of image can be used for segmentation such as grayscale, color, motion, etc. Segmentation techniques are basically used to identify objects in an image for object-based measurements such as the size and shape of the object. In this paper, various techniques that are used for image segmentation are discussed and summarized by emphasizing their characteristics, advantages, and disadvantages. The methods discussed in this paper are thresholding methods, clustering methods, watershed segmentation, and edge-based segmentation techniques.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007579

  Paper ID - 197428

  Author type - Indian Author

  Page Number(s) - 5245-5250

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  No Of Downloads - 1347

  Author Country - 403502, India, MAPUSA, MAPUSA, India, Science & Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2007579

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2007579

  Published Paper PDF Downlaod: - download.php?file=IJCRT2007579

  Cite this article

Joanna Mota,Maruska Mascarenhas,   "A REVIEW ON DIFFERENT METHODS OF IMAGE SEGMENTATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.5245-5250, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007579.pdf

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