首页> 外文会议>2011 IEEE Recent Advances in Intelligent Computational Systems >IR based Level Set Evolution for segmentation of shadow images
【24h】

IR based Level Set Evolution for segmentation of shadow images

机译:基于IR的水平集演化用于阴影图像的分割

获取原文

摘要

Inhomogeneous intensity regions get embedded into the images due the result of image acquisition done under various lightening conditions. Segmentation of such images by using traditional methods shows poor results. In this paper we propose a Level set method by introducing a new adaptive force function on the level sets evolution. The force function is derived from reflectance & illuminations present in the image. This method is proved to be successful in segmentation of images by excluding the shadow regions present in the images.
机译:由于在各种光照条件下进行图像采集的结果,强度不均匀的区域被嵌入到图像中。使用传统方法对此类图像进行分割显示出较差的结果。在本文中,我们通过在水平集演化过程中引入新的自适应力函数,提出了一种水平集方法。力函数来自图像中存在的反射率和照明。通过排除图像中存在的阴影区域,证明该方法在图像分割中是成功的。

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