首页> 外文会议>International Conference on Inventive Computation Technologies >Diverse image investigation using image metrics for content based image retrieval system
【24h】

Diverse image investigation using image metrics for content based image retrieval system

机译:基于内容图像检索系统的图像指标不同的图像调查

获取原文

摘要

An image is an array, or a matrix, of square pixels organized in columns and rows. A picture is wealth a thousand words. Pictures concisely deliver information about positions, sizes and inter-relationships between objects. Image metrics are very useful to analysing the raw images for further quality image processing. Nowadays all the digital images are having noise problems during image acquisition process. Overcome image analysing problem in initial stage by using image metrics. In this paper we are mainly focusing image metrics for better performance of CBIR system. Because Content Based Image Retrieval system mainly working with diverse images for retrieval purpose. Metrics are image enhancements, object analysis, arithmetic functions etc. Finally Image Quality Assessment (IQA) has been carried out using various evaluation measures are found better in the retrieval accuracy.
机译:图像是在列和行中组织的方形像素的阵列或矩阵。一张图片是财富千言万语。图片简明地提供有关对象之间的位置,大小和关系的信息。图像指标对于分析原始图像以获得进一步的质量图像处理非常有用。如今,在图像采集过程中,所有数字图像都具有噪声问题。使用图像指标克服初始阶段中的图像分析问题。在本文中,我们主要主要关注CBIR系统的更好性能的图像指标。因为基于内容的图像检索系统主要使用不同的图像以进行检索目的。指标是图像增强,对象分析,算术功能等。最后通过各种评估措施进行了图像质量评估(IQA),从检索精度更好地找到。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号