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Surface Roughness Classification of Mangosteen with Gray Level Co-occurrence Matrix based Texture Analysis

机译:基于灰度共生矩阵的山竹纹理表面粗糙度分类

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Mangosteen is one of the fruits that has an enormous export potential in Thailand. It is well-known as the queen of fruit. Mangosteen export generates large revenue; however, fruit is not defect free it contains many undesirable external as well as internal condition which results in the shipment rejection and decrease the reliability of the export. Therefore, this research investigates an approach for texture image analysis based surface roughness detection and classification into 3 classes: i.e., Glossy Surface, Mid Rough Surface and Extreme Rough Surface. In this study, for the first time, we propose the textural features extracted using Gray-Level Co-occurrence Matrix (GLCM) for surface roughness classification of mangosteen.
机译:山竹果是泰国具有巨大出口潜力的水果之一。它以水果皇后而闻名。山竹果出口产生大量收入;但是,水果并非没有缺陷,它包含许多不良的外部和内部条件,这会导致拒绝发货并降低出口的可靠性。因此,本研究研究了一种基于纹理图像分析的方法,该方法基于表面粗糙度检测并将其分类为3类:光泽表面,中粗糙表面和极端粗糙表面。在这项研究中,我们首次提出使用灰度共现矩阵(GLCM)提取的纹理特征用于山竹的表面粗糙度分类。

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