首页> 外文OA文献 >An approach to improving edge detection for facial and remotely sensed images using vector order statistics
【2h】

An approach to improving edge detection for facial and remotely sensed images using vector order statistics

机译:一种改善面部和遥感的边缘检测方法   图像使用矢量顺序统计

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper presents an improved edge detection algorithm for facial andremotely sensed images using vector order statistics. The developed algorithmprocesses colored images directly without been converted to gray scale. Anumber of the existing algorithms converts the colored images into gray scalebefore detection of edges. But this process leads to inaccurate precision ofrecognized edges, thus producing false and broken edges in the output edge map.Facial and remotely sensed images consist of curved edge lines which have to bedetected continuously to prevent broken edges. In order to deal with this, acollection of pixel approach is introduced with a view to minimizing the falseand broken edges that exists in the generated output edge map of facial andremotely sensed images.
机译:本文提出了一种改进的边缘检测算法,该算法利用矢量阶统计量对人脸和遥感图像进行了检测。所开发的算法直接处理彩色图像,而无需转换为灰度。在检测边缘之前,许多现有算法将彩色图像转换为灰度。但是,该过程导致所识别的边缘的精度不准确,从而在输出边缘贴图中产生假边缘和断边缘。面部图像和遥感图像由弯曲的边缘线组成,必须连续对其进行检测以防止断边缘。为了解决这个问题,引入了像素集合方法,以最小化存在于面部和远程感测图像的生成的输出边缘图中的假边缘和折断边缘。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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