Detecting Navel Orange Canker with Hyperspectral Imaging

Detection of navel orange canker by hyper spectral imaging technique was proposed in this work. Navel orange was adopted as the experimental object. The hyper spectral images of navel oranges were collected between 400 nm and 1000 nm wavelength. Principal component analysis (PCA) was performed to determine optical wavelength (672nm). The feature images under 672nm were selected to establish region of interest and build the mask. After analyzing the feature image by PCA, we found the second principal component (PC2) image to be most suitable for identifying the presence of canker. Finally, the feature of canker was extracted through determination of optional threshold and morphological image processing. The result shows that navel orange canker can be detected with an accuracy of 92.5% by hyper spectral imaging technique.