Detection of Thrips Defect on Green-Peel Citrus Using Hyperspectral Imaging Technology Combining PCA and B-Spline Lighting Correction Method

Detection of Thrips Defect on Green-Peel Citrus Using Hyperspectral Imaging Technology Combining PCA and B-Spline Lighting Correction Method

Blog Article

In order to find an effective method of detecting thrips defect on green-peel citrus, a defect segmentation method was developed using a single threshold value based on combination of characteristic wavelengths principal component analysis (PCA) and B-spline lighting correction method in this study.At first, four characteristic wavelengths (523, 587, 700 and 768 nm) were obtained using PCA of Vis-NIR (visible and near-infrared) Moleskin Caps bands and analysis of weighting coefficients; secondarily, PCA was performed using characteristic wavelengths and the second principal component (PC2) was selected to classify images; then, B-spline lighting correction method was proposed to overcome the influence of lighting non-uniform on citrus when thrips C-1000 defect was segmented; finally, thrips defect on citrus was extracted by global threshold segmentation and morphological image processing.The experimental results show that thrips defect in citrus can be detected with an accuracy of 96.

5% by characteristic wavelengths PCA and B-spline lighting correction method.This study shows that thrips defect on green-peel citrus can be effectively identified using hyperspectral imaging technology.