基于人工蜂群算法阈值分割的风速仪积雪检测
Anemometer Snow Detection Based on Threshold Segmentation of Artificial Bee Colony Algorithm
夏国瑞 1李文辰2
作者信息
- 1. 上海气象仪器厂有限公司,上海 201209
- 2. 上海第二工业大学,上海 201209
- 折叠
摘要
针对风杯式风速计因积雪导致的风速测量不准确,提出了一种使用图像检测技术进行积雪检测的方法.根据风杯式风速计和积雪特点,对待检测区域的图像进行裁剪,使用最大类间方差法对图像进行阈值分割.为了降低最优阈值的计算量,使用人工蜂群算法寻优替代遍历计算来确定阈值,对阈值分割后的图像进行处理突出积雪的特征实现积雪的检测.
Abstract
To overcome the inaccuracy of wind speed measurement in wind cup anemometers due to snow accumula-tion,this paper proposes a method for snow detection using image detection technique.The area to be detected is cropped based on the wind cup and snow characteristics.The resulting image is then segmented using the OTSU algo-rithm.To reduce the computational effort required for determining optimal thresholds,an artificial bee colony algorithm is used for optimization instead of traversal computation.The image is processed using threshold segmentation to highlight snow features for snow detection.
关键词
风杯式风速计/积雪检测/最大类间方差法/人工蜂群算法Key words
wind cup anemometer/snow detection/OTSU algorithm/artificial bee colony algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据