摘要
随着计算机视觉技术和图像处理技术的迅速发展,图像的检索也从简单的文本信息查询发展到复杂的基于内容的图像检索,这是一个从低级到高级发展的过程。文章主要以基于内容的图像检索方法为研究对象,来分析一种基于烟花粒子群算法的优化PAM算法在图像检索中的应用。
With the rapid development of computer vision technology and image processing technology, image retrieval has evolved from simple text information query to complex content-based image retrieval. This is a process from low-level to high-level development. This paper mainly uses content-based image retrieval method as the research object to analyze the application of an optimized PAM algorithm based on firefly particle swarm optimization algorithm in image retrieval.
作者
邓浩
Deng Hao(Higher Vocational and Technical College,Henan Institute of Science and Technology,Xinxiang 453600,China)
出处
《无线互联科技》
2018年第23期99-100,103,共3页
Wireless Internet Technology
关键词
图像检索
PAM算法
烟花粒子群算法
聚类算法
image retrieval
PAM algorithm
firefly particle swarm optimization
clustering algorithm