首页|期刊简介|投稿指南|分类索引|刊文选读|订阅指南|资料|样刊邮寄查询|常见问题解答|联系我们
范燚杰,祝雪妹. 基于图像分割的云层测速方法[J]. 科学技术与工程, 2020, 20(16): 6479-6484.
FAN Yi-jie.A Method to Measure Moving Velocity of Clouds Based on Image Segmentation[J].Science Technology and Engineering,2020,20(16):6479-6484.
基于图像分割的云层测速方法
A Method to Measure Moving Velocity of Clouds Based on Image Segmentation
投稿时间:2019-09-12  修订日期:2020-06-14
DOI:
中文关键词:  图像分割  遗传算法  目标检测  目标匹配  云层测速
英文关键词:image segmentation genetic algorithms object detection object matching cloud velocity measurement
基金项目:国家自然科学基金(612731000);国家高技术研究发展(863)计划(2013AA050201)
     
作者单位
范燚杰 南京师范大学电气与自动化工程学院
祝雪妹 南京师范大学电气与自动化工程学院
摘要点击次数: 73
全文下载次数: 34
中文摘要:
      为了解决塔式太阳能电站镜场上空的云层遮挡问题,提出一种对镜场上空移动云层进行预测的测速方法。首先利用固定摄像机对云层图像进行采集,然后提取不同帧数的图像,并进行伽马变换、遗传算法图像分割、云层目标检测、运动云层匹配等处理,最后根据匹配得到的像素坐标计算云层的移动速度和方向。实验测试结果表明:与光流法的数据进行比较,显示图像分割方法计算量少,位置预测误差小。可见运用图像分割方法进行云测速是可行的,为塔式太阳能电站的云监测中云遮挡预判提供理论依据。
英文摘要:
      In order to solve the problem of cloud cover over the heliostat field of tower solar power station, a velocity measurement method was proposed which was used to forecast the moving cloud over the heliostat field. Firstly, the cloud image was captured by a fixed camera, then the images with different frames were extracted by software, and those operations were performed, such as gamma transformation, image segmentation based on genetic algorithm, cloud target detection, and motion cloud layer matching. Finally, the movement speed and direction of cloud layer was calculated according to the pixel coordinates obtained by the matching. The experimental results show that compared with the data of optical flow method, the image segmentation method requires less computation and the location prediction error is small. It is concluded that the image segmentation method for cloud velocity measurement is feasible, which can provide theoretical basis for cloud cover prediction in the cloud monitoring of tower solar power plant.
查看全文  查看/发表评论  下载PDF阅读器
关闭
你是第31355067位访问者
版权所有:科学技术与工程编辑部
主管:中国科学技术协会    主办:中国技术经济学会
Tel:(010)62118920 E-mail:stae@vip.163.com
京ICP备05035734号-4
技术支持:本系统由北京勤云科技发展有限公司设计

京公网安备 11010802029091号