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Investigation and Comprehensive Research: Image Segmentation Approaches

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.

Published Online: September-October 2023

Pages: 16-18

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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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