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Classification of Lycopersicon Esculentum Fruit Based on Color Features with Linear Discriminant Analysis (LDA) Method

机译:基于彩色判别分析(LDA)方法的彩色特征分类

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Tomatoes (Lycopersicon Esculentum) is a fruit that has many types. One way to distinguish the types of tomatoes can be seen from differences in color, size, and shape. To assist in the classification of tomatoes, a study was conducted which aims to classify two types of tomatoes namely plum tomatoes and beef tomatoes. Therefore, the processing of tomato images is done to facilitate the layman in classifying the two types of tomatoes. The research method used consisted of preprocessing in the form of color conversion l*a*b and HSV for feature extraction, and Linear Discriminant Analysis (LDA) method used to determine data distribution. This method can separate and classify the two types of tomatoes well. The use of adequate training data will further improve classification accuracy. The final results of this study indicate that the level of accuracy in the classification of tomatoes for both types is 90%.
机译:西红柿(Lycopersicon Esculentum)是一种有很多类型的水果。区分西红柿类型的一种方法可以从颜色,尺寸和形状的差异看出。为了协助番茄分类,进行了一项研究,旨在将两种类型的西红柿和牛肉西红柿分类。因此,完成了番茄图像的处理,以便于分类两种类型的西红柿。使用的研究方法包括以颜色转换L * A * B和HSV的形式预处理,用于特征提取,以及用于确定数据分布的线性判别分析(LDA)方法。这种方法可以很好地分离和分类两种类型的西红柿。使用足够的培训数据将进一步提高分类准确性。本研究的最终结果表明,两种类型的西红柿分类的准确性水平为90%。

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