基于二维矩的竹植物分类描述技术比较

Krishnavir Singh, I. Gupta, Sangeeta Gupta
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引用次数: 1

摘要

通用傅里叶描述子可以在形状的径向和圆形方向上进行多分辨率分析,从而产生光谱特征并具有更好的检索性能。本文提出了一种基于竹鞘形状特征的基于通用傅里叶矩的竹种自动识别系统,并与胡矩进行了比较。根据分类器的精度对分类器的性能进行了比较,得出傅里叶矩与胡矩相比有明显好的结果。结果表明,该方法具有较高的识别精度,适用于商业应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparison of 2D Moment Based Description Techniques for Classification of Bamboo Plant
Generic Fourier descriptor yield spectral features and have better retrieval performance due to multi-resolution analysis in both radial and circular directions of the shape. In the proposed work, an automated bamboo species recognition system based on shape features of bamboo culm sheath has been developed using Generic Fourier Moment and compare the result with Hu moment. The performance of the classifier is compared based on the classifier accuracy and conclude that the Fourier moment have significantly good results compare to Hu moment. The results obtained shows considerable recognition accuracy proving that the techniques used is suitable to be implemented for commercial purposes.
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