中国造纸杂志社-造纸；纸浆；制浆；行业；专家；设备 关键词：纸病图像；图像灰度；特征值；BP神经网络 [gap=1060]Key words：paper defect image； image gray； characteristic value； BP neural network
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This paper analyzes the system of the online measuring of sand defect Image acquisition, determine the camera and light in the sand defects detection equipment and complete set of hardware.
本论文分析了砂纸缺陷在线检测系统中图像采集的摄像机和光源，确定了针对砂纸缺陷检测的硬件设备并完成了搭建工作。
Therefore, the paper is significative to the field of defect image segmentation.
所以该课题在缺陷图像分割领域有一定的理论和实际意义。
This paper mainly studies how to use image processing techniques to recognize the defect of crystal oscillator.
本论文主要研究利用图像处理的方法来识别晶振的缺陷。
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