Flower recognition system based on image processing

2014 Third ICT International Student Project Conference (ICT-ISPC) Pub Date : 2014-03-26 DOI:10.1109/ICT-ISPC.2014.6923227

Tanakorn Tiay, Pipimphorn Benyaphaichit, Panomkhawn Riyamongkol

引用次数: 37

Abstract

The flower recognition system based on image processing has been developed. This system uses edge and color characteristics of flower images to classify flowers. Hu's seven-moment algorithm is applied to acquire edge characteristics. Red, green, blue, hue, and saturation characteristics are derived from histograms. K-nearest neighbor is used to classify flowers. The accuracy of this system is more than 80%.

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基于图像处理的花卉识别系统

开发了基于图像处理的花卉识别系统。该系统利用花卉图像的边缘和颜色特征对花卉进行分类。采用Hu的七矩算法获取边缘特征。红、绿、蓝、色相和饱和度的特征来源于直方图。用k近邻对花进行分类。该系统的检测精度可达80%以上。

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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来源期刊

2014 Third ICT International Student Project Conference (ICT-ISPC)

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