Image-based date fruit classification

A. Haidar, Haiwei Dong, N. Mavridis
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引用次数: 67

Abstract

Date fruits are small fruits that are abundant and popular in the Middle East, and have growing international presence. There are many different types of dates, each with different features. Sorting of dates is a key process in the date industry, and can be a tedious job. In this paper, we present a method for automatic classification of date fruits based on computer vision and pattern recognition. The method was implemented, and empirically tested on an image data spanning seven different categories of dates. In our method, an appropriately crafted mixture of fifteen different visual features was extracted, and then, multiple methods of classification were tried out, until satisfactory performance was achieved. Top accuracies ranged between 89% and 99%.
基于图像的枣子分类
枣子是一种小水果,在中东盛产,很受欢迎,在国际上的影响力也越来越大。有许多不同类型的日期,每一个都有不同的特点。日期排序是日期行业的一个关键过程,也是一项繁琐的工作。本文提出了一种基于计算机视觉和模式识别的枣子自动分类方法。对该方法进行了实现,并在跨越7个不同类别日期的图像数据上进行了实证测试。在我们的方法中,提取了15种不同视觉特征的适当制作混合物,然后尝试多种分类方法,直到获得满意的性能。最高准确率在89%到99%之间。
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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