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)