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A Perlustration of Various Image Segmentation Techniques

by Sonam Mandiratta, Pooja Batra Nagpal, Sarika Chaudhary
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 12
Year of Publication: 2016
Authors: Sonam Mandiratta, Pooja Batra Nagpal, Sarika Chaudhary
10.5120/ijca2016909490

Sonam Mandiratta, Pooja Batra Nagpal, Sarika Chaudhary . A Perlustration of Various Image Segmentation Techniques. International Journal of Computer Applications. 139, 12 ( April 2016), 26-31. DOI=10.5120/ijca2016909490

@article{ 10.5120/ijca2016909490,
author = { Sonam Mandiratta, Pooja Batra Nagpal, Sarika Chaudhary },
title = { A Perlustration of Various Image Segmentation Techniques },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 12 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number12/24543-2016909490/ },
doi = { 10.5120/ijca2016909490 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:40:46.254505+05:30
%A Sonam Mandiratta
%A Pooja Batra Nagpal
%A Sarika Chaudhary
%T A Perlustration of Various Image Segmentation Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 12
%P 26-31
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image segmentation plays the main role in image processing. Segmentation defines as a process of splitting an image into multiple parts or multiple regions in order to analyze them. The aim of segmentation is to modify an image in such a way so that it can easy to analyze as well as understand. To analyze the different type of an Image in image processing, image segmentation plays a key step in it. The purpose of segmentation is to find out the meaningful information from an image. Image segmentation is also used to differentiate the various objects that are occurring in an image. Several images Segmentation techniques have been developed due to its importance in image processing. These segmentation techniques are also useful to make an image smooth as well as easy to evaluate. There are many techniques in image segmentation process and these techniques are Edge based, Region based, Thresholding based, ANN based, Fuzzy based, clustering based and watershed based that are discussed in this paper.

References
  1. Sandhya, Archana, Poonam Rani “Image SegmentationMethods: A Review” International Journal of Advanced Research in Computer Science and Software EngineeringVolume 5, Issue 4, 2015.
  2. Priyanka Shivhare, Vinay Gupta “Review of Image Segmentation Techniques Including Pre & Post Processing Operations “International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-4 Issue-3, February 2015.
  3. M.S. Sonawane, C.A. Dhawale “A Brief Survey on Image Segmentation Methods “International Journal of Computer Applications (0975 – 8887) National conference on Digital Image and Signal Processing, DISP 2015.
  4. Kamal Kant Verma, “A comparative study of image segmentation techniques in digital image processing” National Conference on “Emerging Trends in Electronics & Communication”. Special Issue, Vol. 1, No. 2, July 2015.
  5. Rohan Kandwal, Ashok Kumar, and Sanjay Bhargava “Review: Existing Image Segmentation Techniques” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 4, April 2014.
  6. Ranjita Asati, H.R. Turkar, A.V. Anjikar, Chandu Vaizdya, Prashant Khobragade “A Survey On Spatial Based Image Segmentation Techniques” International Journal of Innovative Research in Computer and Communication Engineering Vol. 3, Issue 10, October 2015.
  7. M. Jogendra Kumar, Dr. GVS Raj Kumar and R. Vijay Kumar Reddy “Review on image segmentation techniques International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882Volume 3, Issue 6, September 2014.
  8. Amanpreet kaur, Navjot kaur “Image Segmentation Techniques” International Research Journal of Engineering and Technology (IRJET) Volume: 02 Issue: 02 | May-2015.
  9. S.S Sudha and K. K. Rahini, “Review of Image Segmentation Techniques: A Survey, “in Pros, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 7, July 2014.
  10. Pinaki Pratim Acharjya, Soumya Mukherjee and Dibyendu Ghoshal,” Digital Image Segmentation Using Median Filtering and Morphological Approach” Volume 4, Issue 1, January 2014.
  11. 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.
  12. A.M. Khan, Ravi. S, “Image Segmentation Methods: A Comparative Study”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-3, Issue-4, September 2013.
  13. Sujata Saini and Komal Arora (2014), “A Study Analysis on the Different Image Segmentation Techniques”, International Journal of Information & Computation Technology, Volume 4, Number 14 (2014).
  14. Gurpreet kaur, Sumeet kaushik: Effect of image gradient as initial step of watershed approach published in IJARCSSE Volume 3, Issue- 2, and February 2013.
  15. Er.Samina Tahir Rizvi, Er. Mandeep Singh Sandhu and Er. Shan E Fatima “Image Segmentation using Improved Watershed Algorithm” International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014.
  16. Rajeshwar Dass, Priyanka, Swapna Devi, “Image Segmentation Techniques”, IJECT Vol. 3, Issue 1, Jan. - March 2012.
  17. Acharya J, Gadhiya S and Raviya K (2013), “Segmentation Techniques for Image Analysis: A Review”, International Journal of Computer Science and Management Research, Vol. 2, pp. 2278-2733.
  18. Amza C (2012), “A Review on Neural Network-Based Image Segmentation Techniques”, Defort University, Mechanical and Manufacturing Eng., the Gateway Leicester, LE1 9BH, pp. 1-23, United Kingdom.
  19. Jay Acharya, Sohil Gadhiya and Kapil Raviya, “Segmentation Techniques for Image Analysis: A Review”, International Journal of Computer Science and Management Research, Vol 2 Issue 1, January 2013, Pg. 1218-1221.
  20. Aman Kumar sharma1 & Anju bala “marker based watershed transformation for image segmentation” vol. 3, issue 4, Oct 2013, 187-192
  21. Amandeep Kaur, Aayushi “Image Segmentation Using Watershed Transform” Volume-4, Issue-1, March 2014.
  22. Dhruven Prajapati, Jenish Gandhi, Kruti J. Dangarwala, “A comparative study of various Image segmentation techniques”, Volume 1 Issue5, 2014
  23. ]Swati Matta, “Review: Various Image Segmentation Techniques”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6), 7536-7539, 2014.
  24. Segmentation Techniques for Image Analysis IJAERS/Vol. I/ Issue II/January-March, 2012.
  25. Ravi S and A M Khan, “Operators Used in Edge Detection: A Case Study”, International Journal of Applied Engineering Research, ISSN 0973-4562 vol. 7 No 11, 2012.
  26. Punam Thakare, “A Study of Image Segmentation and Edge-Detection Techniques”, International Journal on Computer Science and Engineering (IJCSE), Vol. 3 No. 2 Feb 2011.
  27. Siti Noraini Sulaiman, Nor Ashidi Mat Isa, “Denoising-based Clustering Algorithms for Segmentation of Low Level Salt-and-Pepper Noise-Corrupted Images”, IEEE Transactions On Consumer Electronics, Vol. 56, No. 4, November 2010.
  28. Punam Thakare, “A Study of Image Segmentation an Edge-Detection Techniques”, International Journal on Computer Science and Engineering (IJCSE), Vol. 3 No. 2 Feb 2011.
  29. V. K. Dehariya, S. K. Shrivastava, R. C. Jain, “Clustering of Image Data Set Using K- Means and Fuzzy K-Means Algorithms”, International conference on CICN, pp. 386- 391, 2010.
  30. K. K. Singh, A. Singh, “A Study of Image Segmentation Algorithms for Different Types of Images”, International Journal of Computer Science Issues, Vol. 7, Issue 5, 2010.
  31. S.Thilagamani, N.Shanthi, “A Novel Recursive Clustering Algorithm for Image Over segmentation”, European Journal of Scientific Research, Vol.52, No.3, pp.430-436, 2011.
  32. Mariela Azul Gonzalez, Gustavo Javier Meschino, Virginia Laura Ballarin, “Solving the Over segmentation problem in applications of Watershed Transform”, journal of Biomedical Graphics and Computing, Vol. 3, No. 3, pp.29-40, 2013.
  33. Pinaki Pratim Acharjya, Dibyendu Ghoshal, “A Modified Watershed Segmentation Algorithm using Distances Transform for Image Segmentation”, International Journal of Computer Applications, Volume 52– No.12, pp. 47-50, August 2012.
  34. S.S. Al-amri, N.V. Kalyankar and Khamitkar S.D, “Image Segmentation by Using Threshold Techniques”, journal of computing, volume 2, issue 5, may 2010.
  35. Ms R.Saranya Pon Selvi et al Int.Journal of Engineering Research and applications ISSN: 2248-9622, Vol.4, Issue 3(version 1), March 2014, pp.429-434.
  36. S. Lakshmi and D. V. Sankaranarayanan, “A study of edge detection techniques for Segmentation computing approaches,” IJCA Special Issue on Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications” CASCT, 2010.
  37. H. G. Kaganami, Z. Beij, “Region Based Detection versus Edge Detection”, IEEE Transactions on Intelligent information hiding and multimedia signal processing, pp. 1217- 1221, 2009.
  38. S.K Somasundaram, P.Alli,” A Review on Recent Research and Implementation Methodologies on Medical Image Segmentation”, Journal of Computer Science 8(1): 170-174, 2012.
  39. W. X. Kang, Q. Q. Yang, R. R. Liang, “The Comparative Research on Image Segmentation Algorithms”, IEEE Conference on ETCS, pp. 703-707, 2009.
  40. H. Zhang, J. E. Fritts, S. A. Goldman, and “Image Segmentation “Evaluation: A Survey of Unsupervised methods”, computer vision and image understanding, pp.260-280, 2008.
  41. K. Parvati, B. S. Prakasa Rao and M. Mariya Das, “Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation”, Discrete Dynamics in Nature and Society, vol. 2008, pp. 1-8, 2008.
  42. Rafael C. Gonzalez, Richard E. Woods, Steven L.Eddins, “Digital Image Processing Using MATLAB,” Second Edition, Gatesmark Publishing, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Gray Histogram Gradient Region Growing watershed transform Global and Local thresholding.

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