田原嫄, 谭庆昌. 照明系统对图像检测精度影响的研究[J]. 应用光学, 2011, 32(5): 922-925.
引用本文: 田原嫄, 谭庆昌. 照明系统对图像检测精度影响的研究[J]. 应用光学, 2011, 32(5): 922-925.
TIAN Yuan-yuan, TAN Qing-Chang. Impact of illumination on image detection accuracy[J]. Journal of Applied Optics, 2011, 32(5): 922-925.
Citation: TIAN Yuan-yuan, TAN Qing-Chang. Impact of illumination on image detection accuracy[J]. Journal of Applied Optics, 2011, 32(5): 922-925.

照明系统对图像检测精度影响的研究

Impact of illumination on image detection accuracy

  • 摘要: 光源是影响摄像质量十分关键的因素,采用不同的照明方法和光源分别进行实验。用CCD摄像机拍摄标准块规,然后利用递推平均滤波算法对采集到的图像进行滤波处理,减少噪声对边缘检测的干扰,利用一维灰度矩亚像素算法搜索标准块规上下两边缘,用求平均值法算出每幅图片中标准块规的厚度。实验结果表明,随着光源选择的变化,照明系统对图像检测精度的影响不同,采用背光照明并使用医用观察灯照明误差最小。

     

    Abstract: Light source is critical for photograph quality. Experiments with different illumination methods and light sources were conducted. Firstly, a photo of normal cube with CCD camera was taken. Secondly, iterative average filter method was used to deal with image collected to reduce interference caused by noise in detecting edge. Thirdly, 1D gray moment sub-pixel method was used to detect edge of normal cube. Finally, average algorithm was used to calculate thickness of every normal cube to test the impact of illumination system on image detection accuracy. The test shows that illumination error of apheliotropic light for medical observation is the minimum.

     

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