期刊文献+

基于图像处理技术与支持向量机的鱼龄识别 被引量:7

Fish age recognition based on image processing and support vector machine
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摘要 采用图像处理技术,提出了一种基于核主成分分析(KPCA)与支持向量机(SVM)的鱼年龄自动识别新方法。首先通过KPCA提取鱼的耳石图像的主元,然后用SVM对鱼的年龄进行学习、识别和预测。实验表明,该方法取得了较好的效果。 The knowledge of age in fish populations is of great significance in stock assessment.In this paper, a new fish age recognition method is proposed based on the image processing technique, kernel principal component analysis(KPCA) and support vector machine(SVM).Firstly, feature-extraction from otolish image is done by KPCA.Then, the fish age is recognized by using SVM.Experimental results show that the method is valid.
出处 《光电子.激光》 EI CAS CSCD 北大核心 2010年第11期1730-1733,共4页 Journal of Optoelectronics·Laser
基金 国家自然科学基金(60872064) 天津市自然科学基金资助项目(08JCYBJC12300)
关键词 图像处理技术 支持向量机(SVM) 核主成分分析(KPCA) 鱼龄识别 image processing technique support vector machine(SVM) kernel principal component analysis(KPCA) fish age recognition
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共引文献31

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