Parallelizing Hartley transform with Hadoop for fast detection of glass defects

作者：Li, Maozhen; Zhang, Hanyuan; Jin, Yong^*; Wang, Zhaoba; Guo, Guodong

来源：Concurrency and Computation: Practice and Experience (CCPE) , 2018, 30(23): e4499.

DOI：10.1002/cpe.4499

• glass detect detection
• Hadoop
• Hartley transform
• image processing
• parallelization

Glass defect detection methods based on grating projection can effectively detect various glass defects. The Fourier transform in general can be used as an online processing method for detecting glass defects based on fringe images. Processing fringe images with Fourier transform needs a large amount of computation as Fourier transform is a complex computation method. In order to reduce the amount of computation, an improved fringe image processing method based on the Hartley transform is proposed in this paper. To further speed up the computation process, the Hartley transform is parallelized with Hadoop, which is a major computing technology in support of data intensive applications. Experimental results show that the parallel Hartley transform significantly reduces computation complexity in detection of glass defects.

• 出版日期2018-12-10
• 单位中北大学