【摘要】 随着电子相机的发展和普及,互联网上传输的图像数据规模呈现快速的增长趋势。对于能够方便快捷地检索图像数据的需求日益增长,基于内容的图像检索(CBIR)因此成为一个热门的研究领域。近年来,在深度学习的基础上,基于区域的CBIR图像检索方法的检索效果引起学者们的广泛跟进。通过将图像目标区域提取方法应用到CBIR图像检索上的方式进行归纳整理,为基于区域的CBIR图像检索方法的研究提供理论依据。更多还原

【Abstract】 With the development and popularization of electronic cameras, the scale of image data transmitted on the Internet shows a rapid growth trend. With the increasing demand for easy and fast retrieval of image data, Content-Based Image Retrieval(CBIR)has become a hot research area. In recent years, based on deep learning, due to the excellent retrieval accuracy of region-based CBIR method, it has been widely followed up by scholars. Analyzes and summarizes method that applying image target region extraction to CBIR, provides a theoretical basis for the research of region-based CBIR method.更多还原