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

• DOI: 10.1007/s40003-013-0057-7
• Publication Date: 2013-04-20T08:40:11Z
• Authors: K. Kheiralipour; H. Ahmadi; A. Rajabipour; S. Rafiee; M. Javan-Nikkhah; D. S. Jayas
• Keywords: 0404 agricultural biotechnology; 04 agricultural and veterinary sciences

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.