International Journal of Engineering Technology and Management Sciences

2023, Volume 7 Issue 3

An Overview: Image Processing Techniques and Its Applications

AUTHOR(S)

K Ganapathi Babu, Sunil Kumar Dasari, C Yosepu

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.135

ABSTRACT
The use of digital image processing techniques has been widely flourished and they are now used for all kinds of tasks in various areas. Image processing helps in the identification of objects that are invisible, and different techniques makes it faster and cost effective. This paper gives you an overview on various digital image processing techniques and its applications like remote sensing, medical imaging, forensic studies etc.

Page No: 883 - 888

References:

1. Ramadevi, Y., Sridevi, T., Pootnima, B., and Kalyani, B., “Segmentation and Object Recognition using Edge Detection Techniques”, International Journal of Computer Science &Information Technology, vol 2, pp: 153- 161, 2010.
2. Meera M K, Shajee Mohan B S,"Object Recognition in Images", International Conference on Information Science (ICIS), ISBN: 978-1-5090-1987-8.
3. Digital Image Processing - R.C. Gonzalez Woods, Addison Wesley, 1992.
4. Murray, Paul ," An overview of image processing techniques and their applications", Recent Advances and Developments in Communication Systems, 2004-02-17 - 2006-02-20.
5. Digital Image Processing-S Jayaraman,S Esakkirajan,T.Veerakumar,Tata Mc Graw Hill of India Pvt Ltd,2009
6. King-Sun Fu, Azriel Rosenfeld, IEEE Pattern Recognition and Image Processing, Vol. C-25,      No. 12,December 1976.
7. Pratishtha Gupta, Manisha Rathore,Saroj Kumari,"A Survey Of Techniques And Applications For Real Time Image Processing", Journal of Global Research in Computer Science, Volume 4, No. 8, August 2013.
8. Sumithra, S.Buvana, R.Somasundaram," A survey on various types of
image processing techniques", IJERT, ISSN:2278-0181.
9. Vijayran, S., and Paramjeet singh., “A Watershed Based Morphological Operator Approach for Image Segmentation”, International Journal of Advanced Research in Computer and Communication Engg, vol 2, 2013.
10. Fundamentals of Digital Image Processing - Anil K. Jain, Prentice-Hall, 1989.
11. The Image Processing Handbook Boca Raton Florida- John C. Russ:CRC Press pp. 250 2002.
12. Remote Sensing Digital Analysis - John A. Richards and Xiuping Jia, enlarged edition, Springer-Verlag, 1999.
13. K. Akita, “Image sequence analysis of real world human motion,” Pattern Recognition, vol. 17, no. 1, pp. 73– 83, 1984.
14. N. Gupta and V. K. Banga, “Image Segmentation for Text Extraction,” in 2nd International Conference on Electrical, Electronics and Civil Engineering (ICEECE’2012), 2012, pp. 182–185.
15. M. R. Lyu, J. Song, and M. Cai, “A comprehensive method for multilingual video text detection, localization, and extraction,” Circuits and Systems for Video Technology, IEEE Transactions on, vol. 15, no. 2, pp. 243– 255,2005.
16. J. S. Weszka, R. N. Nagel, and A. Rosenfeld, “A threshold selection technique,” Computers, IEEE Transactions on, vol. 100, no. 12, pp. 1322–1326, 1974.
17. Steven W.Smith,"The Scientist and Engineer's Guide to Digital Signal Processing”.

How to Cite This Article:
K Ganapathi Babu, Sunil Kumar Dasari, C Yosepu .An Overview: Image Processing Techniques and Its Applications . ijetms;7(3):883-888. DOI: 10.46647/ijetms.2023.v07i03.135