关键词: 机器视觉, 表面缺陷, 并行计算, 计算统一设备架构

Abstract: To realize the automatic and rapid detection of the surface quality of automobile shock absorber piston rod and to meet the real-time online inspection requirements in the mass production process,a rapid screening technology of the micro-fine defects of the polished surface of the piston rod based on Compute Unified Device Architecture (CUDA) was proposed.In this technique,a high-resolution image of 4096x16384 was clearly obtained using a line scan imaging method in the case of piston rod high-reflection of cylindrical surface,and then a modified Two Dimensional Interval Impulse Array (TDIIA) convolution filter was used.The algorithm realized fast filtering and screening,which was 52.4 times faster than the serial computing speed.By mixing program of serial and parallel algorithm,and combining with the parallel reduction summation algorithm,the overall time of defect screening calculation was 67.4% less than the serial method.In addition,the technology provided a reference method for online real-time processing of large data volumes oriented to high-resolution images of precision detection.

Key words: machine vision, surface defect, parallel computation, compute unified device architecture