基于内容的图像检索

Rashmi Somshekhar, Miss. Nayan Jadav, A. Makandar
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引用次数: 0

摘要

版权所有©2019由作者和《国际科学研究与发展趋势杂志》所有。基于内容的图像检索系统在数据挖掘、教育、医学成像、犯罪厌恶、气候、遥感和全球资源管理等许多不同领域都有应用。谷歌的图片搜索和相册等实现了图片搜索,谷歌的Picasa项目应用于一般社交网络环境,在网络环境中寻找实用、高效的图片搜索。我们的应用程序提供基于颜色的图像检索,利用主色等特征。通过小波变换和颜色直方图得到颜色特征,这些特征的合并对图像中物体的缩放和平移具有鲁棒性。该系统在包含更多通用彩色图像的输入图像数据库上建立了一种有前途且更快速的检索方法。通过对已有系统的估计,对其性能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content Based Image Retrieval
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT The incremented desideratum of content-based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Google’s image search and photo album implements such as image search, Google’s Picasa project applications in general gregarious networking environment, the hunt for practical, efficacious image search in the web context. Our application provides the color based image retrieval, utilizing features like dominant color. The color features are obtained through wavelet transformation and color histogram and the amalgamation of these features is robust to scaling and translation of objects in an image. The proposed system has established a promising and more expeditious retrieval method on a input image database containing more general-purpose color images. The performance has been analysed by estimating with the subsisting systems in the literature.
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