CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Applications of Kirlian Images

Published on May 2014 by Priyadasrini. K, P. Thangam
journal_cover_thumbnail

International Conference on Simulations in Computing Nexus
Foundation of Computer Science USA
ICSCN - Number 3
May 2014
Authors: Priyadasrini. K, P. Thangam
8f78bcf6-38ab-46f4-b8aa-e4b1f69f33c4

Priyadasrini. K, P. Thangam . Applications of Kirlian Images. International Conference on Simulations in Computing Nexus. ICSCN, 3 (May 2014), 5-7.

@article{
author = { Priyadasrini. K, P. Thangam },
title = { Applications of Kirlian Images },
journal = { International Conference on Simulations in Computing Nexus },
issue_date = { May 2014 },
volume = { ICSCN },
number = { 3 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 5-7 },
numpages = 3,
url = { /proceedings/icscn/number3/16158-1030/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Simulations in Computing Nexus
%A Priyadasrini. K
%A P. Thangam
%T Applications of Kirlian Images
%J International Conference on Simulations in Computing Nexus
%@ 0975-8887
%V ICSCN
%N 3
%P 5-7
%D 2014
%I International Journal of Computer Applications
Abstract

The human body emits various radiations such as electromagnetic radiation, infrared, low level visible light and ultra-violet radiation. There are various equipments to measure these radiations. One among them is Kirlian photography which is said to be high voltage electro photography. In this paper a survey of literature based on Kirlian images are carried out. The various processing of Kirlian images such as the application of Kirlian images in diagnosing diseases, the use of machine learning in automatically generating classification rules from the GDV image descriptions and Compression of Kirlian images have been studied. Also, a detailed analysis of the various Kirlian image based systems has been conducted and reported.

References
  1. Beverly Rubik, "Measurement of the Human Biofield and Other Energetic Instruments", Energetics and Spirituality by Lyn Free man, 2008.
  2. http://en. wikipedia. org/wiki/Kirlian_photography.
  3. http://bioresonant. com/research. html.
  4. http://kirlianresearch. com/kirlian_diagnostic. html.
  5. Korotkov,K. G, "Measuring Energy Fields", Saint Petersburg, 1999.
  6. N. Kostyuk, P. Cole, N. Meghanathan, R. Isokpehi, and H. Cohly, "Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics," in Proc. International Journal of Biomedical Imaging, Vol. Article ID 196460, 7 pages, 2011.
  7. Chiang Lee H,Wah Khong P, Ghista D, "Bioenergy based medical diagnostic application based on gas discharge visualization, in Proc. IEEE Eng Med Biol Soc 2:1533, 2005.
  8. Shanmuga Priya B, Rajesh R. "Understanding Abnormal Energy levels in Aura Images". Proc. of International Conference on Artificial Intelligence and Machine Learing, Dubai, pp. 75–81, 2011.
  9. Rajesh R, Shanmuga Priya B, Satheeshkumar J, Arulmozhi V, "Could Aura Images can be Treated as Medical Images?," in Proc. ICIEIS 2011, CCIS 252 (Springer), pp. 159-170, 2011,.
  10. Shanmuga Priya B, Rajesh R. "Early detection of diabetics using features obtained from Kirlian images," in Proc. ICOT Conference, Tainan, pp. 147-150, 2013.
  11. Kononenko I, Zrimec T, Doganoc A, M. Krebelj, M. Simcic, "Machine learning and GDV images: A case study," in Proc. Life Electric 99, Edmonton, pp. 40-44, May 14 – 16,1999.
  12. Kononenko I, Zrimec T, Prihavec B, Bevk M. , Stanojevic S. "Machine learning and GDV images: Diagnosis and therapy verification," in Proc. Biology and Cognitive Science, Ljubljana, pp. 84-87,1999.
  13. Mario Koppen, Betram Nickolay, and Hendrik Treugut "Genetic algorithm based heuristic measure for pattern similarity in Kirlian photographs", Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, volume LNCS of 2037, pages 317–324, 2001.
  14. Vitaly Vishnevskey, Vladimir Kalmykov, Tatyana Romaneko, Aleksandr Tugaenko, "Kirlian Image Preprocessing Diagnostic System," in Proc. International Journal "Information Theories and Applications" Vol. 16, pp. 193-199, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Kirlian Images Bio-field Gdv Machine Learning