Anemometer Snow Detection Based on Threshold Segmentation of Artificial Bee Colony Algorithm
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.
wind cup anemometersnow detectionOTSU algorithmartificial bee colony algorithm
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