A Significant Method For Estimation Of Postmortem Interval Using Image Analysis Of The Cornea By Using Matlab

Abstract

The estimation of PMI is essential for forensic investigation. Nowadays, traditional techniques in estimating PMI result in subjective evaluations, so these estimates might be swayed due to the different environmental and physiological variables.  This research proposes a novel method to estimate PMI through the image analysis of the cornea by taking the computational advantage of MATLAB. Ours is a high imagistic resolution methodology capturing the corneal surface after death, given specific morphological and optical changes with PMI. Images were processed using MATLAB  for corneal opacity being analyzed with advanced algorithms. By this, high values in the correlations of the corneal features extracted by the system and PMI are noticed, with high accuracies. This is also free from external factor–induced variability and provides much more reliable estimation than traditional methods. Moreover, the approach allows image processing and analysis within MATLAB, rendering it a reproducible and efficient workflow fit for integration into forensic practices. This study provides a major advance in estimating PMI by allowing image analysis of cornea through MATLAB. This increases the accuracy and objectiveness in determining PMI and, as a result, its real potential can be achieved by its further perfection and usage in forensic science.