摘要
针对雾天环境对农业生产、交通运输、安防等领域的远程监控带来的图像质量变差,色彩变暗,对比度信息丢失等问题,设计了一款基于云平台的远程图像采集系统的完整方案。系统以全志H3CPU为核心处理器设计嵌入式终端采集器,采集器软件部分在Linux操作系统下,借助OpenCV中的图像处理函数结合图像去雾算法进行图像去雾处理,进过处理后的图像通过WiFi上传云平台。测试表明,用户在远程通过浏览器进行访问,可以清晰的观察到雾天环境下的清晰农田图像设计远程图像。此系统搭建简单,容易移植,具有高实时性、高准确性、有一定的推广价值。
For fog environmental impact on agricultural production,transportation,security and other fields of remote monitoring of image quality,color is darker,contrast information loss and other issues,designed a remote image acquisition system based on cloud platform of complete solutions.System to all volunteers H3 CPU as the core processor design of embedded terminal collector,collector software part under the LINUX operating system,with the aid of OpenCV image processing function of image to image to deal with the fog fog algorithm and the processed image is entered through the wifi upload a cloud platform.The test shows that the user can make a clear view of the clear farmland image in foggy environment and design the remote image.This system is simple and easy to transplant,with high real time and high accuracy.It has certain promotion value.
作者
邱毅
崔宪伟
Qiu Yi;Cui Xianwei(School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266000, Chin)
出处
《电子测量技术》
2018年第6期142-146,共5页
Electronic Measurement Technology
