An automatic and effective approach in identifying tower cranes

A method which can distinguish tower cranes from other objects in an image is proposed in this paper. It synthesizes the advantages of both morphological theory and geometrical characters to identify tower cranes accurately. The algorithm uses morphological theory to remove noise and segment images. Moreover, geometrical characters are adopted to extract tower cranes with thresholds. To test the algorithm's practical applicability, we apply it to another image to check the result. The experiments show that the approach can locate the position of tower cranes precisely and calculate the number of cranes at 100% accuracy rate. It can be applied to identifying tower cranes in small regions.

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