Preliminary Study of Kirlian Image in Digital Electrophotonic Imaging and its Applications

Janifal Alipal, Razak Mohd Ali Lee, Ali Farzamnia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


Almost every single existing Medical Imaging techniques available nowadays is dealing with captured noninvasive radiations spectrum (NIR) in digital image form to aid the visualization probes for disease diagnosis and treatment process. Electrophotonic Imaging is one among them. In this paper, a preliminary study on the Kirlian image and its current applications are carried out and proposed the Kirlian effects to process numerically by blob extraction and segmentation technique using mathematical morphology of digital image processing. This pilot study is principled to analyze an insight conclusion of digital analysis on Kirlian spectrum by introducing a pre-processing procedure to extract the effects texture as the radiation energy signature based on its most significant glow (digitally imaged isolines) used for medical biometric and disease interpretations. This paper achieved to simplify the procedure of blob extraction for Kirlian effect digitally to defines four (4) parameters as the image feature, subsequently introduce it as Kirlian 'digital signature'.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781538608463, 9781538608456
ISBN (Print)9781538608470
Publication statusPublished - 25 Dec 2017
Externally publishedYes
Event2nd IEEE International Conference on Automatic Control and Intelligent Systems - Kota Kinabalu, Sabah, Malaysia
Duration: 21 Oct 201721 Oct 2017
Conference number: 2


Conference2nd IEEE International Conference on Automatic Control and Intelligent Systems
Abbreviated titleI2CACIS 2017
CityKota Kinabalu, Sabah

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