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| Basketball Image Segmentation Research Based on Quantum Search Algorithm |
| YANG Yang,LIU Jia |
| Huanghuai University, Zhumadian, Henan 463000, China |
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Abstract In order to improve the effect of basketball image segmentation,quantum search algorithm (QSA) is proposed. Firstly,basketball segmentation model was established,including basketball center and radius based on three scales,and basketball target was segmented based on gray probability distribution. Secondly,quantum phase was transformed based on quantum phase Grover conversion in order to establish weighting factor and basketball target relation, and maximum quantum search success possibility and angle of quantum rotation phase was determined.Finally, quantum search algorithm process was given.Simulation indicated that quantum search algorithm can accomplish basketball object segmentation effectively, and segmentation success rate is higher.
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2015, Vol. 36 
