摘要
本文将图像处理算法和模糊神经网络分类器相结合进行船舶分类,在研究过程中,首先利用图像处理技术进行图像分割、设定阈值、边缘检测等操作,然后建立了模糊神经网络结构,在此结构基础上进行模糊神经网络分类学习,最后采集到实测数据进行船舶分类,实验结果表明了本文算法的可行性和有效性。
In this paper,image processing algorithm and fuzzy neural network classifier were combined to ship classification.In the research process,firstly,the image processing technology was used to segment the image,set threshold and edge detection.Then,the structure of fuzzy neural network was established.On the basis of this structure,fuzzy neural networks were used to classify learning.Finally,the measured data were collected to classify the ship.Experimental results showed the feasibility and effectiveness of the proposed algorithm.
出处
《舰船科学技术》
北大核心
2017年第18期52-54,共3页
Ship Science and Technology
关键词
图像处理
模糊神经网络
船舶分类
image processing
fuzzy neural network
ship classification
