首页> 外文会议> >Merging pixels' location and illumination levels information for getting automatic fuzzy perceptual image segmentation algorithms
【24h】

Merging pixels' location and illumination levels information for getting automatic fuzzy perceptual image segmentation algorithms

机译:合并像素的位置和照度级别信息以获取自动的模糊感知图像分割算法

获取原文

摘要

Monochrome digital images have a discrete set of illumination levels. So, results of monochrome images segmentation algorithms could be notably improved if human being's ability, for distinguishing these levels, would be considered within this type of algorithms. Although illumination levels provide a lot of information about the objects appearing within an image, to be considered within segmentation algorithms, gray levels constituting each illumination level has to be specified. As a part of our ongoing work for getting fuzzy perceptual segmentation algorithms, here we present a system for recognizing the image's illumination levels wherein, with the aim of simplifying the problems and automating the process, besides the analysis of image's gray levels histogram, location of the pixels associated with each histogram peak is also considered.
机译:单色数字图像具有一组离散的照明级别。因此,如果在这种类型的算法中考虑到人类区分这些级别的能力,则可以显着改善单色图像分割算法的结果。尽管照明级别提供了大量有关出现在图像中的对象的信息,但要在分割算法中考虑这些信息,但必须指定构成每个照明级别的灰度级。作为获取模糊感知分割算法的工作的一部分,我们在这里提出了一种用于识别图像照度的系统,该系统的目的是简化问题并实现过程自动化,除了分析图像的灰度直方图,图像的位置还考虑了与每个直方图峰关联的像素。

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