Development of a New Threshold Based Classification Model for Analyzing Thermal Imaging Data to Detect Fungal Infection of Pistachio Kernel

Abstract

Thermal images have beneficial information which can be used for diagnostic purposes. The information can be released by applying appropriate analyses methods. In this research, a new algorithm, threshold based classification (TBC), was developed to analyze thermal images of healthy and fungal-infected pistachio kernels in MATLAB 2010A environment. Results showed that TBC algorithm can classify successfully healthy and infected pistachio kernels without considering the infection stages.