SELF-DIRECTING IMAGE ALLIANCE AND SUTURING OF MEDICAL IMAGING OF SEAM EMULSIFYING

Authors

  • Narayana Sushma UG Scholar, Computer Science and Engineering Saveetha School of Engineering, Chennai Author
  • Mr. S.Sridhar Assistant professor, Computer Science and Engineering, Saveetha School of Engineering Chennai Author

DOI:

https://doi.org/10.61841/kqncwy90

Keywords:

Mosaicing, pixels, panoramic image

Abstract

Picture bed-making (Mosaicing) is advised as an activity analysis area in PC eyes and PC illustrations. Account bed-making is afraid about abutting at atomic two pictures of an agnate arena into one top goals account, which is the alleged all-encompassing picture. Account bed-making procedures can be classified into two accepted methodologies: absolute and highlight-based strategies. Absolute systems attending at all the pixel admiral of the pictures with one another, admitting highlight-based procedures apprehend to adjudge an affiliation amid the pictures through accurate highlights removed from the handled pictures. The endure alignment has the upside of getting progressively able adjoin arena development quicker and can appropriately acquire the accoutrement access a part of an unordered adjustment of pictures. The action behind this cardboard is to acquaint an overview about the basic-based account sewing. The axiological locations of account bed-making will be depicted. An anatomy of an absolute account bed-making framework based on highlight-based methodologies will be presented. At last, the present difficulties of account bed-making will be talked about. 

Downloads

Download data is not yet available.

References

1. Ebtsam Adetet. al., ‘Image Stitching based on Feature Extraction Techniques: A Survey’, International Journal of Computer Applications, vol. 99, no. 6, 2014.

2. Lowe, ‘Distinctive Image Features from Scale-Invariant Keypoints’, International Journal of Computer Vision, vol. 60, 2004.

3. Parul Jain, VijayaShandliya, ‘A Review Paper Om Various Approaches for Image Mosiacing’, International Journal of Computational Engineering Research, vol. 3, issue 4, 2014.

4. Chia Yun Chen, ‘Image Stitching: Comparison and New Techniques’, University of Auckland, 1998.

5. Jin-jianLv, Gong-jian, and Ji-yang Wang, ‘A New Feature Matching Algorithm for Image Registration based on Feature Similarity’, Congress on Image and Speech Processing, 2008.

6. Harris C., Stephens M., ‘A Combined Corner and Edge Detector’, Plessey Research Rake Manor, UK, 1988.

7. Konstantinos G. Derpanis, “The Harris Corner Detector," October 2004.

8. Ashwini P., Jayalaxmi H., ‘Image mosaicing using SIFT and Corner Detection Algorithm’, International Journal of Advanced Technology and Engineering Research, vol. 4, issue 2, March 2014.

9. V. Rankov, R.J. Locke, R.J. Eden, P.R. Barber, B. Vojnovic, “An algorithm for image stitching & blending," Proceedings of SPIE, Vol. 5701, March 2005.

10. Pranoti Kale, K.R. Singh, ‘A Technical Analysis of Image Stitching Algorithm’, ISCIT, Vol 6(1), 2015.

11. Eden A., Uyttendaele & Szeliski, ‘Seamless Image Stitching of Scenes with Large Motions and Exposure Differences’, Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, 2006.

12. Karthik, AnnisFathima, Vaidehi, ‘Panoramic View Creation using Invariant Feature Transform with Embedded Color Invariant Values’, IEEE Transactions

13. Oh-Seol Kwon and Yeong-Ho Ha, ‘Panoramic Video using Scale Invariant Feature Transform with Embedded Color Invariant Values’, IEEE International Transactions on Consumer Electronics, vol. 56, May 2010.

14. Szeliski, R., “Image Alignment and Stitching," Technical Report.

15. Ke Yan and Rahul Sukthankar, ‘PCA-SIFT: A More Distinctive Representation for Local Image Descriptors’, IEEE Computer Society Conference in Computer Vision and Pattern Recognition, vol. 2, 2004.

16. Ke, Y., & Sukthankar, R. (2004). PCA-SIFT: A more distinctive representation for local image descriptors. (pp. 506-513).

17. Dalal, N. & Triggs, B. (2005). Histograms of Oriented Gradients for Human Detection. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01 (pp. 886-893). Washington, DC, USA: IEEE Computer Society.

18. Harris, C., & Stephens, M. (1988). A combined corner and edge detector. In Proc. of the Fourth Alvey Vision Conference (pp. 147-151).

19. A.V.Kulkarni1, J. V. (September 2013). Object recognition with ORB and its Implementation on FPGA. International Journal of Advanced Computer Research, 2277-7970.

20. Mrs. Hetal M. Patel, A. P. (November 2012). Comprehensive Study and Review of Image Mosaicing Methods. International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 9, ISSN: 22780181

Downloads

Published

30.04.2020

How to Cite

Sushma, N., & S., S. (2020). SELF-DIRECTING IMAGE ALLIANCE AND SUTURING OF MEDICAL IMAGING OF SEAM EMULSIFYING. International Journal of Psychosocial Rehabilitation, 24(2), 4463-4472. https://doi.org/10.61841/kqncwy90