Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur, India.
Pest Manag Sci. 2020 Mar;76(3):952-960. doi: 10.1002/ps.5603. Epub 2019 Oct 3.
The plausibility of image texture analysis to assess X-ray images of S. oryzae-infested rice after variable storage days (fresh, 45, 90, 135, 180 and 225 days) was investigated using an X-ray micro computed tomography instrument. Subsequently, image acquisition, pre-processing, and 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, and z views of the rice grain and used as inputs for principal component analysis (PCA).
Clear grouping was observed between the fresh, 45 and 225-day-old S. oryzae-infested rice grains with a classification accuracy of 88.34%. The voids (884 248.53 μm ) and defect volume distribution (137 428.04 μm ) were found to be the maximum in 225-day-old samples. The similarity or the distance indices values between fresh and 255-day-old S. oryzae-infested rice samples were found to be 35 038.08, which resulted in clear discrimination between different storage days in S. oryzae-infested rice grains.
This work contributes to the potential use of image texture analysis to aid in distinguishing S. oryzae-infested rice grains from fresh rice grains. © 2019 Society of Chemical Industry.
使用 X 射线微计算机断层扫描仪器研究了在不同储存天数（新鲜、45、90、135、180 和 225 天）后，对受 S.oryzae 感染的稻米 X 射线图像进行图像纹理分析的合理性。随后，使用体积图形 VGL 2.2 软件进行图像采集、预处理和图像纹理特征提取。从稻米的 x、y 和 z 视图中提取形态特征（半径、直径、体积、紧凑度、球形度、缺陷体积和空隙），并将其作为主成分分析（PCA）的输入。
在新鲜、45 和 225 天受 S.oryzae 感染的稻米颗粒之间观察到明显的分组，分类准确率为 88.34%。发现 225 天的样本中空隙（884 248.53 μm）和缺陷体积分布（137 428.04 μm）最大。新鲜和 255 天受 S.oryzae 感染的稻米样品之间的相似性或距离指数值为 35 038.08，这导致了受 S.oryzae 感染的稻米颗粒在不同储存天数之间的明显区分。
这项工作有助于利用图像纹理分析来帮助区分受 S.oryzae 感染的稻米颗粒和新鲜稻米颗粒。 © 2019 化学工业协会。
