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可扩展的花卉种类识别

DOI: 10.11834/jig.20141111

Keywords: 插件,流式结构,可扩展,花卉种类识别

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Abstract:

目的基于模式识别的花卉种类识别方法在使用不同特征或分类器时识别准确率有较大差别。本文的研究目的在于实现花卉种类识别方法的快速构建及性能评估,减轻研究人员的编程工作量,提高效率。方法根据使用模式识别技术进行花卉种类识别的一般步骤,应用插件技术将算法中的预处理、特征提取、分类器训练、分类器识别等步骤表示成不同种类的处理器,建立可扩展的系统平台,研究人员可以通过修改各步骤所使用的处理器来修改图像处理和识别算法,并在此基础上采用流式链接方法构建算法。结果基于本文所提出的构建方法进行算法优化,并将其用于68种花卉的识别,准确率Top1为91.26%,Top5为98.41%。结论流式链接方法能够对识别方法进行快速装配,有利于快速评估不同特征和分类器在花卉种类识别中的性能,适于算法的研究和优化。本文所提出的基于工作流式链接方法以及插件技术的构建方法具有灵活易用的特点,所构建的算法具有良好的可扩展性。该方法还可以推广应用于其他基于数字图像的模式识别算法研究。

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