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Overview of image segmentation techniques and searching for future directions of research in content-based image retrieval

机译:基于内容的图像检索的未来研究未来研究的图像分割技术概述

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Research in content-based image retrieval has proved extremely difficult because of the inherent problems in proper automated analysis and feature extraction of the image to facilitate efficient retrieval. An image may contain more than one object and to segment the image in line with object features to extract meaningful objects has become a challenge to the researchers in the field. Until we win over this challenge, the efficient retrieval of images from the database based on a given input image will be difficult to achieve. In this paper we take stock of the current situation and suggest some future directions in the resolution of this problem.
机译:基于内容的图像检索的研究已经证明极其困难,因为在适当的自动分析和图像的特征提取中的固有问题,以便于有效地检索。图像可能包含多个对象并符合映像与对象特征逐行分割,以提取有意义的物体已经成为该领域的研究人员的挑战。在我们赢得这一挑战之前,基于给定输入图像的数据库中的图像有效检索将难以实现。在本文中,我们占据当前情况,并在解决这个问题的情况下提出了一些未来的方向。

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