A method for regional feature extraction of flower images

Yong Pei, Weiqun Cao
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引用次数: 4

Abstract

The classification of flowering plants is a significant part of plant taxonomy. Automatic recognition of flowers using computer technology is of great social benefits. We analyze the features and disadvantages of existing methods, and propose a regional feature extraction method based on the shape characteristics of flowers. Since most flowers bloom radially and provide centrosymmetric features for their images, we therefore divide each flower image into several feature-ring regions and define their correspond features according to the information contained in them. Experimental results show that a feature system that can effectively distinguish flowers could be established on the basis of the features of flower images extracted through the proposed method, with which a high classification and recognition fidelity of flowering plants can be reached.
花卉图像的区域特征提取方法
开花植物分类是植物分类学的重要组成部分。利用计算机技术对花卉进行自动识别具有很大的社会效益。分析了现有方法的特点和不足,提出了一种基于花卉形状特征的区域特征提取方法。由于大多数花是径向开花的,并且其图像具有中心对称的特征,因此我们将每张花图像划分为几个特征环区域,并根据其中包含的信息定义相应的特征。实验结果表明,基于该方法提取的花卉图像特征,可以建立有效区分花卉的特征系统,达到较高的开花植物分类识别保真度。
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