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Research Article

Investigation and Comprehensive Research: Image Segmentation Approaches

  • Paper ID 94
  • Volume 3, Issue 5
  • Pages 16-18
  • Published Online: September-October 2023
  • 7 Views
Open Access Peer Reviewed

Authors

  • Ritika Sharma1
  • Sumit Kumar2
  • Rajesh Kumar3
  • Ramesh Nath Jha4

1,2,3Students, Department of Electronics and Communication Engineering, Aravali College of Engineering & Management, Haryana, India. 4 Asst. Prof, Department of Electronics and Communication Engineering, Aravali College of Engineering & Management, Haryana, India.

Article Information

DOI
No DOI
Published Online
September-October 2023
Pages
16-18
Article Type
Research Article
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No DOI available for cross-reference

References

1. Rajesh war Dass, Priyanka, SwapnaDevi,“ImageSegmentationTechniques,”IJECTVo1-3,Issue -1, Jan-March2012.
2. W.X. Kang, Q. Q. Yang, R.R.Liang,“The ComparativeResearchonImageSegmentationAlgorithms,”IEEEConference onETCS, pp. 703-
707,2009.
3. SJayaraman,SEsakkirajan,T Veerakumar,“DigitalImageProcessing”Thirdreprint,TMH, 2010.
4. S. S.Varshney, N. Rajpal,R.Purwar,“Comparative Study of Image Segmentation Techniques and
ObjectMatchingusingSegmentation,”ProceedingofInternational Conference on Methods and Models in Computer Science, pp. 1-6,2009.
5. Wahba Marian,“ AnAutomated Modified Region Growing Technique for Prostate Segmentation in Trans-
RectalUltrasoundImages,”Master'sThesis,Department of Electrical and Computer Engineering, University of Waterloo, Waterloo,
Ontario, Canada, 2008.
6. L.Aurdal, "Image Segmentation beyond thres holding,”Norsk Regnescentral, 2006.
7. “Segmentation Techniques For Image Analysis,”IJAERS,Vol.I,IssueII, January-March,2012.
8. T. Lindeberg and M.-X. Li,"Segmentation and class ificationo fedgesusing minimum description length approxi mation and Complementary
junction cues,” Computer Vision and Image Understanding, vol. 67, no.1, pp. 88-98, 1997.
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