首页> 外文会议>International symposium on multispectral image processing and pattern recognition;MIPPR 2009 >MPEG-7 based research on image shape features extraction and description method
【24h】

MPEG-7 based research on image shape features extraction and description method

机译:基于MPEG-7的图像形状特征提取与描述方法研究

获取原文

摘要

In the researching field of content based image retrieval (CBIR), shape features based is the most difficult to deal with. The shape features are the most significant characteristics comparing with other lower basic image features and they are the hardest features to describe. In this paper, one method is presented to describe the features by adopting MPEG-7 standard recommend Fourier descriptor after the object shape features extracted by adaptive threshold segmentation. Choose the Fourier transformed border function to be shape descriptor. Use curvature scale function to represent shape features. Experiments show that image shape features extraction method used in this paper is accurate in edge location and will further facilitate the description of shape features. Meanwhile the use of MPEG-7 Fourier descriptors can express shape characteristics that contain abundant information with less data.
机译:在基于内容的图像检索(CBIR)研究领域,基于形状特征的处理最为困难。与其他较低的基本图像特征相比,形状特征是最重要的特征,并且它们是最难描述的特征。本文提出了一种通过自适应阈值分割提取物体形状特征后,采用MPEG-7标准推荐的傅里叶描述符来描述特征的方法。选择傅立叶变换后的边界函数作为形状描述符。使用曲率比例函数表示形状特征。实验表明,本文提出的图像形状特征提取方法边缘位置准确,将有助于描述形状特征。同时,使用MPEG-7傅立叶描述符可以表达形状特征,该特征包含的信息丰富且数据较少。

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