摘要
人们在图像检索的过程中就希望能够简便、快速、有效的检索出目标图像,从而顺利达到解决问题的目的。但是随着互联网与多媒体技术的不断发展,数字图像数据库已存储了大量的图像资源,因而这给人们快速、准确寻找到所需图像并有效利用图像资源出了一个大难题。面对这一情况,研究者们提出了一种基于遗传算法的内容图像检索方法,利用其最优群体搜索的优势大大提高与缩短了图像检索的精度与时间。在此,该文将着重分析一种基于形状和遗传算法的图像检索方法。
People want to simple, fast, effective retrieval of the target image in the retrieval process, so as to achieve the purpose of solving the problem. But with the continuous development of Internet and multimedia technology, digital image database has stored image resources abundant, so it gives people quickly, accurately find the needed image and the effective use of image resources that a big problem. In the face of this situation, the researchers propose a content-based image retrieval method based on genetic algorithm, using the optimal search group advantages greatly improve the accuracy and time and shorten the image retrieval. Then, this paper will focus on the analysis of an image retrieval method based on shape and genetic algorithm.
出处
《电脑知识与技术》
2014年第3X期2026-2027,2048,共3页
Computer Knowledge and Technology
基金
四川省教育厅2014年度一般项目(14ZB0315)
关键词
遗传算法
图像检索
形状
内容
方法
genetic algorithm
image retrieval
shape
content
method
