Image Reconstruction of Continuous Wave Domain Diffuse Optical Tomography for Quality Control on Carrot

Abstract

The quality control of vegetables and fruit are urgently needed to improve the marketability of agricultural products to meet the market demand for high quality, nutritious and safe food. Diffuse Optical Tomography is offering the possibility to detect the internal defects of the agricultural produce quality. The purpose of this research was to evaluate the model based iterative reconstruction method on a ring array continuous wave-domain diffuse optical tomography system for quality control on a carrot. This research was conducted on numerical object and carrot. These objects were illuminated by the near infrared source from 12 positions on object’s boundary. To obtain the boundary parameter data, a set of near infrared detector was placed on the periphery of the object. To validate our proposed reconstruction method, the reconstructed images from simulated data are shown in comparison with that from experimental data. In this research, we vary the position and the value of optical coefficient of defect on the object, then we analyze the correlation between reconstructed image from simulated data and experimental data. The results indicate continuous wave domain-diffuse optical tomography has shown promising to detect the presence of defects on carrot which is significant for agricultural produce quality control.