LAUSR

BACKGROUND The plausibility of image texture analysis to assess X-ray images of S. oryzae infested rice with variable storage days (fresh, 45, 90, 135, 180 and 225 days) was acquired and investigated employing X-ray micro-computed tomography instrument. Subsequently, image acquisition and pre-processing, the extraction of the image textural features was done using volume graphics VGL 2.2 software. Morphological features (radius, diameter, volume, compactness, sphericity, defect volume, and voids) were extracted from the x, y, z views of the rice grain, and applying as inputs for the principal component analysis (PCA). RESULTS Clear grouping was observed between the fresh and 45-225 days S. oryzae infested rice grains with a classification accuracy of 88.34%. The voids (884 248.53 μm3 ) and defect volume distribution (137 428.04 μm3 ) were found to be maximum in 225 days samples. The similarity or the distance indices values between fresh and 255 days S. oryzae infested rice samples were found to be 35 038.08 which resulted in clear discrimination between different storage days S. oryzae infested rice grains. CONCLUSION This work contributes to the potential use of image texture analysis to aid in discrimination of S. oryzae infested rice grains from the fresh rice grains. This article is protected by copyright. All rights reserved.