Enhanced Region-specific Algorithm: Image Quality Analysis for Digital Kirlian Effect

Abstract

Research on digital Kirlian effect especially its quality after certain algorithm taken part is overlooked. Thresholding the image in binary form couldn’t give an analysis enough details on its significant features. This study is introducing an Enhanced Region-specific algorithm, ERS to extract the captured digital Kirlian effect as human radiated energy inside an EPI (Electrophotonic Imaging) image. By utilizing image morphology transform, ERS is improving the procedure of blob extraction process by fitting an absolute arithmetic process in-between the gray-level and binary slice of the image. Henceforth, this paper is focusing on the image quality analysis after the process, subsequently offers a new diagnostic information on captured Kirlian effects through an EPI image. This paper present that the quality of processed digital effect under ERS algorithm are in lower MSE and higher PSNR with its correlation coefficient to its original image better than segmented and binary slices. Significant and most-significant details on the image are able to being preserved to its better quality using the proposed algorithm.