【24h】

Wavelets for texture analysis, an overview

机译:用于纹理分析的小波,概述

获取原文

摘要

Texture is an important cue for the analysis of many types of images. The term is used to point to intrinsic properties of surfaces, especially those that don't have a smoothly varying intensity. It includes intuitive properties like roughness, granulation and regularity. More formally, texture can be defined as the set of local neighbourhood properties of the gray levels of an image region. Texture analysis is considered a challenging task. The ability to effectively classify and segment images based on textural features is of key importance in scene analysis, medical image analysis, remote sensing and many other application areas.
机译:纹理是分析许多类型图像的重要提示。该术语用于指向表面的内在特性,尤其是那些没有平稳变化强度的特性。它包括直观的性质,如粗糙度,造粒和规律性。更正式地,纹理可以被定义为图像区域的灰度级的本地邻域属性集。纹理分析被认为是一个具有挑战性的任务。基于纹理特征有效分类和分段图像的能力在场景分析,医学图像分析,遥感和许多其他应用领域中具有重要性。

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