Multi-view block Fusion Algorithm for Data Mining and Intelligent Sports Training

Multi-view block fusion algorithm for data mining and intelligent sports training is designed and implemented in this manuscript. It has excellent performance in the field of ultra-high-speed real-time image processing. The dual-DSP high-speed real-time signal processing system of this system consists of two DSP chips as the core to form a neighborhood image parallel processor, and realizes synchronous parallel operation processing through the division and decomposition of system tasks. With the designed model, the ideas on the block fusion algorithm for data mining and intelligent sports training is then discussed. Under the condition of the same fill factor, the composite aperture array structure can obtain the higher resolution and imaging quality than the typical aperture array structure after image restoration, which is an effective means to obtain very high resolution. This will be further considered to optimize the sport system. The performance is validated by performing a general testing on different datasets.