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

Janifal Alipal; Razak Mohd Ali Lee; Ali Farzamnia

doi:10.1109/I2CACIS.2017.8239060

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 proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	213-217
Number of pages	5
ISBN (Electronic)	9781538608463, 9781538608456
ISBN (Print)	9781538608470
DOIs	https://doi.org/10.1109/I2CACIS.2017.8239060
Publication status	Published - 25 Dec 2017
Externally published	Yes
Event	2nd IEEE International Conference on Automatic Control and Intelligent Systems - Kota Kinabalu, Sabah, Malaysia Duration: 21 Oct 2017 → 21 Oct 2017 Conference number: 2

Conference

Conference	2nd IEEE International Conference on Automatic Control and Intelligent Systems
Abbreviated title	I2CACIS 2017
Country/Territory	Malaysia
City	Kota Kinabalu, Sabah
Period	21/10/17 → 21/10/17

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Alipal, J., Lee, R. M. A., & Farzamnia, A. (2017). Preliminary Study of Kirlian Image in Digital Electrophotonic Imaging and its Applications. In Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017 (pp. 213-217). [8239060] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I2CACIS.2017.8239060

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title = "Preliminary Study of Kirlian Image in Digital Electrophotonic Imaging and its Applications",

abstract = "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'.",

keywords = "blob extraction and segmentation, digital Kirlian image, Electrophotonic Imaging, gas corona discharge, Kirlian digital signature, Kirlian spectrum features",

author = "Janifal Alipal and Lee, {Razak Mohd Ali} and Ali Farzamnia",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017 ; Conference date: 21-10-2017 Through 21-10-2017",

year = "2017",

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doi = "10.1109/I2CACIS.2017.8239060",

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Alipal, J, Lee, RMA & Farzamnia, A 2017, Preliminary Study of Kirlian Image in Digital Electrophotonic Imaging and its Applications. in Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017., 8239060, Institute of Electrical and Electronics Engineers Inc., pp. 213-217, 2nd IEEE International Conference on Automatic Control and Intelligent Systems, Kota Kinabalu, Sabah, Malaysia, 21/10/17. https://doi.org/10.1109/I2CACIS.2017.8239060

Preliminary Study of Kirlian Image in Digital Electrophotonic Imaging and its Applications. / Alipal, Janifal; Lee, Razak Mohd Ali; Farzamnia, Ali.

Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 213-217 8239060.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Alipal, Janifal

AU - Lee, Razak Mohd Ali

AU - Farzamnia, Ali

N1 - Conference code: 2

PY - 2017/12/25

Y1 - 2017/12/25

N2 - 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'.

AB - 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'.

KW - blob extraction and segmentation

KW - digital Kirlian image

KW - Electrophotonic Imaging

KW - gas corona discharge

KW - Kirlian digital signature

KW - Kirlian spectrum features

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BT - Proceedings - 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems, I2CACIS 2017

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Y2 - 21 October 2017 through 21 October 2017

ER -

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

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