首页> 外文期刊>International Journal on Informatics Visualization: JOIV >Optimization of Digital Image Processing Method to Improve Smoke Opacity Meter Accuracy
【24h】

Optimization of Digital Image Processing Method to Improve Smoke Opacity Meter Accuracy

机译:优化数字图像处理方法以提高烟度计的精度

获取原文
           

摘要

One of the parameters of exhaust emission testing on diesel engines is the level of smoke opacity. If the opacity is high then the emission quality is bad. The instrument for measuring smoke opacity is called Smoke Opacity Meter. The commonly used basic concept to measure smoke density is by u tilizing a light sensor (optical sensor). Development of Smoke Opacity Meter applies the concept of Digital Image Processing . Even though it has initially begun , the measurement result is yet as perfect as Optical Sensor Concept . T herefore, t h is paper describes on how to implement the Digital Image Processing Method in process ing the smoke opacity video data.
机译:柴油发动机废气排放测试的参数之一是烟雾的不透明度。如果不透明度高,则发射质量差。用于测量烟度不透明度的仪器称为烟度计。常用的测量烟密度的基本概念是利用光传感器(光学传感器)。烟度计的开发应用了数字图像处理的概念。尽管它最初已经开始,但测量结果仍与“光学传感器概念”一样完美。因此,本文描述了如何在处理烟气不透明视频数据时实施数字图像处理方法。

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