基于k近邻HSV图像的保鲜果易变性分类

Frencis Matheos Sarimole, Muhammad Ilham Fadillah
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引用次数: 4

摘要

番石榴是来自印度尼西亚的水果之一,受到许多印尼人的喜爱。与水番石榴相比,番石榴本身具有柔软致密的果肉质地。如果是生的,番石榴本身是粉红色的,但如果番石榴成熟了,它就会是暗红色的。从一眼望去,从人类的视野来看,很容易区分它们,但从大多数人的角度来看,仍然很难区分哪种番石榴是成熟的、半熟的和未成熟的番石榴,因为人眼之间的意见不同。基于这些问题,研究人员开发了一种系统,该系统能够利用K近邻(KNN)的色调饱和值(HSV)特征提取来检测番石榴果实的成熟度。本研究使用的数据为465个数据集,分为324个训练数据和141个测试数据。数据分为熟的、半熟的和生的三类。然后,通过计算值为K=3的最近距离,使用K最近邻方法对数据进行分类。本研究的准确率为97.16%。
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Classification Of Guarantee Fruit Murability Based on HSV Image With K-Nearest Neighbor
Guava bol is one of the fruits from Indonesia that is favored by many Indonesian people. The guava itself has a soft and dense flesh texture compared to water guava. The guava itself has a pink color if it is raw but if the guava is ripe it will be dark red. From a glance, when viewed from human vision, it is very easy to distinguish between them, but from most people it is still difficult to distinguish which guava is ripe, half-ripe and unripe guava because of differences in opinion from one human eye to another. Based on these problems, researchers have developed a system that is able to detect the maturity level of guava fruit by utilizing the Hue Saturation Value (HSV) feature extraction with K-Nearest Neighbor (KNN). The data used in this study were 465 datasets which were divided into 324 training data and 141 test data. The data had classes, namely ripe, half-cooked, and raw. The data is then classified using the K-Nearest Neighbor method by calculating the closest distance with a value of K = 3. From this study resulted in an accuracy of 97.16%.
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CiteScore
1.50
自引率
0.00%
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0
审稿时长
4 weeks
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