Receiver Operating Characteristic for Pollen Sacs Measurement from Honey Bees’ Monitoring Video
This paper introduces a novel method to measure full pollen sacs on honey bees recorded on monitoring video at the entrance to a beehive. The pollen sacs are detected from individual bee images which are cropped from continuous frames of the bee monitoring video. The pre-processing uses image moments and colour thresholding to detect blobs which may or may not be pollen sacs. After the pre-processing, the possible pollen sacs have four features that can be used for discrimination, using the receiver operating characteristic technique (ROC). The ROC is used to find the optimum features and thresholds to distinguish and count the number of pollen sac blobs and non-pollen sac blobs. It is found that two of the features are useful. However, the ROC can only operate on a single feature and its threshold. It cannot combine two features to do the measurement. In this paper, the two features are used to create a 2D distribution. This distribution is analysed to discriminate the pollen sac blobs from the other blobs. The result is improved but is still not accurate. An estimation method is finally used to measure the pollen and non-pollen blobs. The test shows the result of the measurement is precise.
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