Banana Ripeness Classification using HSV Colour Space and Nearest Centroid Classifier

Elizabeth Nurmiyati Tamatjita, Rouly Doharma Sihite
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引用次数: 5

Abstract

Banana is a common fruit which is found throughout Southeast Asia and are beneficial both as delicacy and as a dessert which is good for health. Although quite common and easy to obtain, many people today find it difficult to identify the correct ripeness stage of banana, especially when purchasing from traditional vendors, where varying degree of ripeness are available. This research sought for a possibility to classify banana ripeness by its peel colour with HSV colour space as the feature and classified using Nearest Centroid Classifier (NCC). ‘Ambon Lumut’, ‘Kepok’ and ‘Raja’ bananas are used as examples for the research as they are among the most common types of banana available for many use in Indonesia, and its ripeness is divided into 4 classes according to different usage of the banana: unripe, almost ripe, ripe, and overripe. Photographic images of ‘Ambon Lumut’, ‘Kepok’ and ‘Raja’ bananas are used as training and test data. The experiment is conducted using cleaned images which have the background re-moved, and this experiment also resulting in 73.33% recognition. The recognition results for each class respectively are: Green = 93.33%; Almost Ripe=80%; Ripe=66.67% and Overripe=53.33%.
利用HSV颜色空间和最近质心分类器进行香蕉成熟度分类
香蕉是一种常见的水果,在整个东南亚都有发现,既可以作为美味佳肴,也可以作为有益健康的甜点。虽然香蕉很常见,也很容易买到,但今天很多人发现很难确定香蕉的正确成熟阶段,尤其是在从传统供应商那里购买时,那里有不同程度的成熟。本研究以HSV颜色空间为特征,利用最近质心分类器(NCC)对香蕉的果皮颜色进行分类,寻求一种通过果皮颜色对香蕉成熟度进行分类的可能性。“Ambon Lumut”,“Kepok”和“Raja”香蕉被用作研究的例子,因为它们是印度尼西亚最常见的香蕉类型,可用于许多用途,其成熟度根据香蕉的不同用途分为4类:未成熟,几乎成熟,成熟和过熟。“Ambon Lumut”、“Kepok”和“Raja”香蕉的摄影图像被用作训练和测试数据。实验使用的是去除背景的清洗后的图像,该实验也获得了73.33%的识别率。各类别的识别结果分别为:Green = 93.33%;几乎成熟= 80%;Ripe=66.67%, Overripe=53.33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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