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’.