基于FPGA的水溶膜生产裂纹图像识别

目的针对水溶膜(PVA)生产中出现的问题,设计一种基于FPGA的水溶膜裂纹图像检测系统,实现生产中产品质量的及时反馈。方法结合FPGA自身的优点构建系统硬件组成,设计与之相匹配的图像采集、数据存储、图像处理、图像显示等功能模块。对灰度变换、图像分割等传统图像处理算法进行优化,利用Xilinx公司的ISE软件在System Generator软件平台上对设计做仿真实验,将采集到的水溶膜裂纹图像进行图像处理,通过识别到的水溶膜质量缺陷来验证设计方案的可行性。结果仿真及实验表明,FPGA可以利用高速的数据并行处理方式来进行图像处理,并应用于水溶膜裂纹图像识别。结论该系统为水溶膜裂纹的自动识别提供了新的途经,具有一定的市场价值。

The Image Recognition of PVA Crack in Production Based on FPGA

The work aims to design a PVA crack image detection system based on FPGA with respect to the problems in the production of PVA, to achieve the timely feedback of product quality in production. The hardware components of the system were built combined with the advantages of FPGA, and the functional modules matching with such components were designed, including image acquisition, data storage, image processing, image display and so on. By optimizing the gray level transformation, image segmentation and other traditional image processing algorithms, Xilinx ISE software was used to simulate the design on the SystemGenerator software platform. The collected PVA crack images were processed. The feasibility of the design scheme was verified by identifying the PVA quality defects. Simulation and experimental results showed that FPGA could use high-speed data parallel processing to perform image processing and apply to the image recognition of PVA crack. This system provides a new route for PVA crack automatic recognition and it has certain market value.