CFP last date
20 January 2025
Reseach Article

Estimation of Electrolytes in a Flame Using Photographic Images

Published on December 2011 by Bhagyashree P. Palnitkar, Anagha M. Panditrao
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 1
December 2011
Authors: Bhagyashree P. Palnitkar, Anagha M. Panditrao
00468f27-87b8-41bb-8546-e808c987730c

Bhagyashree P. Palnitkar, Anagha M. Panditrao . Estimation of Electrolytes in a Flame Using Photographic Images. International Conference on Electronics, Information and Communication Engineering. ICEICE, 1 (December 2011), 17-21.

@article{
author = { Bhagyashree P. Palnitkar, Anagha M. Panditrao },
title = { Estimation of Electrolytes in a Flame Using Photographic Images },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 1 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 17-21 },
numpages = 5,
url = { /specialissues/iceice/number1/4253-iceice007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Bhagyashree P. Palnitkar
%A Anagha M. Panditrao
%T Estimation of Electrolytes in a Flame Using Photographic Images
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 1
%P 17-21
%D 2011
%I International Journal of Computer Applications
Abstract

The paper proposes a novel technique for the detection of alkali metals such as sodium; potassium etc. which is carried out by the digital photographic technique. Various samples of known concentration are prepared. The samples are aspired in a flame photometer. The flame images are captured using a consumer grade digital camera of known resolution. The images are captured and post processing techniques are developed using appropriate software to identify the change in color. Correlation between the color and the concentration is developed using various analytical techniques. The results are promising.

References
  1. Ping Wah Wong Tretter, D. Herley, C. Moayeri, N. Lee, “Image Processing Considerations for Digital Photography”, IEEE Compcon- Conference Proceedings - Feb. 1997 IEEE Transaction, pp.280-285, Feb 1997
  2. H.J. Michael Vrhel, H. Joel Trussell, “Color Image Processing”, Proceedings of IEEE, vol. 86, no. 6, pp.1088-1108, June 1998
  3. Anagha M. Panditrao, Priti P. Rege, “Estimation of the Temperature of Heat Sources by Digital Photography and Image Processing”, Proceedings of IEEE International Instrumentation and Measurement Technology Conference, pp.218-223, 5-7, May 2009
  4. W. Holiczer, Yu. Grishin, D. Janczak, E. Olech, “A New Data Processing Algorithm for Enhancing the Measurement Accuracy of Monovalent Alkaline Metals Microconcentration”, Proceedings of IEEE, vol.1, pp.63-66, 12-15, May 2004. MELECON 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Electrolyte Estimation Digital Photography