American Journal of Computer Science and Technology

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Review Study on Digital Image Processing and Segmentation

Received: 15 October 2019    Accepted: 09 November 2019    Published: 31 December 2019
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Abstract

Image segmentation is in fact one of the most fundamental approach of digital image processing. In image processing, segmentation playa an important role. It may be defined as partitioning an image into meaning full regions or objects. In other words we can say that process of segmentation keeps on dividing an image into its constitute sub parts. The level to which the subdivision is carried on depends on type of problem to be solved by researchers. This segmentation process continues unless area of interest is isolated. Set of segment or set of contours that are extracted from the image is the main result of image segmentation. There are various application of image segmentation like locating tumors or other pathologies, measuring tissue volume, surgery aided by computer, treatment and planning, study of various anatomical structure, locating objects in satellite images, fingerprint. There are various types of generalized algorithm and methodology that are developed for image segmentation. Some common technique of image segmentation such as edge detection, thresh holding, region growing and clustering are taken for this study. In fact segmentation algorithm are based on two properties similarity and discontinuity. This paper concentrates on the various methods that are widely used to segment the image.

DOI 10.11648/j.ajcst.20190204.14
Published in American Journal of Computer Science and Technology (Volume 2, Issue 4, December 2019)
Page(s) 68-72
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Segmentation, Digital Image Processing, Edge Detection, Thres Holding, Region Growing, Clustering

References
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[17] H. P. Narkhede, “Review of Image Segmentation Techniques”, International Journal of Science and Modern Engineering (IJISME) ISSN: 2319-6386, Volume-1, Issue-8, July 2013.
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Author Information
  • Computer Science Department, Jain University, Bangalore, India

  • HOD IT Department, Jain University, Bangalore, India

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    Puja Shashi, Suchithra R. (2019). Review Study on Digital Image Processing and Segmentation. American Journal of Computer Science and Technology, 2(4), 68-72. https://doi.org/10.11648/j.ajcst.20190204.14

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    Puja Shashi; Suchithra R. Review Study on Digital Image Processing and Segmentation. Am. J. Comput. Sci. Technol. 2019, 2(4), 68-72. doi: 10.11648/j.ajcst.20190204.14

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    Puja Shashi, Suchithra R. Review Study on Digital Image Processing and Segmentation. Am J Comput Sci Technol. 2019;2(4):68-72. doi: 10.11648/j.ajcst.20190204.14

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  • @article{10.11648/j.ajcst.20190204.14,
      author = {Puja Shashi and Suchithra R},
      title = {Review Study on Digital Image Processing and Segmentation},
      journal = {American Journal of Computer Science and Technology},
      volume = {2},
      number = {4},
      pages = {68-72},
      doi = {10.11648/j.ajcst.20190204.14},
      url = {https://doi.org/10.11648/j.ajcst.20190204.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajcst.20190204.14},
      abstract = {Image segmentation is in fact one of the most fundamental approach of digital image processing. In image processing, segmentation playa an important role. It may be defined as partitioning an image into meaning full regions or objects. In other words we can say that process of segmentation keeps on dividing an image into its constitute sub parts. The level to which the subdivision is carried on depends on type of problem to be solved by researchers. This segmentation process continues unless area of interest is isolated. Set of segment or set of contours that are extracted from the image is the main result of image segmentation. There are various application of image segmentation like locating tumors or other pathologies, measuring tissue volume, surgery aided by computer, treatment and planning, study of various anatomical structure, locating objects in satellite images, fingerprint. There are various types of generalized algorithm and methodology that are developed for image segmentation. Some common technique of image segmentation such as edge detection, thresh holding, region growing and clustering are taken for this study. In fact segmentation algorithm are based on two properties similarity and discontinuity. This paper concentrates on the various methods that are widely used to segment the image.},
     year = {2019}
    }
    

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    T1  - Review Study on Digital Image Processing and Segmentation
    AU  - Puja Shashi
    AU  - Suchithra R
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    JF  - American Journal of Computer Science and Technology
    JO  - American Journal of Computer Science and Technology
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    UR  - https://doi.org/10.11648/j.ajcst.20190204.14
    AB  - Image segmentation is in fact one of the most fundamental approach of digital image processing. In image processing, segmentation playa an important role. It may be defined as partitioning an image into meaning full regions or objects. In other words we can say that process of segmentation keeps on dividing an image into its constitute sub parts. The level to which the subdivision is carried on depends on type of problem to be solved by researchers. This segmentation process continues unless area of interest is isolated. Set of segment or set of contours that are extracted from the image is the main result of image segmentation. There are various application of image segmentation like locating tumors or other pathologies, measuring tissue volume, surgery aided by computer, treatment and planning, study of various anatomical structure, locating objects in satellite images, fingerprint. There are various types of generalized algorithm and methodology that are developed for image segmentation. Some common technique of image segmentation such as edge detection, thresh holding, region growing and clustering are taken for this study. In fact segmentation algorithm are based on two properties similarity and discontinuity. This paper concentrates on the various methods that are widely used to segment the image.
    VL  - 2
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