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首页> 外文期刊>Science, Measurement & Technology, IET >Automatic static contact angle algorithm for blurry drop images and its application in hydrophobicity measurement for insulating materials
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Automatic static contact angle algorithm for blurry drop images and its application in hydrophobicity measurement for insulating materials

机译：模糊滴图像自动静态接触角算法及其在绝缘材料疏水性测量中的应用

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摘要

To improve the accuracy of the static contact angle evaluation for the blurry drop images, a large number of water drop images are numerically generated or acquired by the contact angle instrument/digital camera. Based on these images, the applicability of the circle Hough transformation and circle fitting algorithms is systematically investigated and compared. The results reveal that the least-squares circle fitting algorithm is particularly suitable for the clear drop images, such as the images acquired by the contact angle instrument. The circle Hough transformation is particularly suitable for the blurry drop images, such as the images acquired by the digital camera. The influence of the contact angle on the contact angle error by the circle Hough transformation is investigated. The critical contact angle values corresponding to various water drop volumes are given, which can be used to improve the accuracy of the static contact angle measurement for the blurry drop images. A modified Hough transformation based on the critical contact angle is proposed. The modified Hough transformation is verified by the static contact angle measurements of different insulating materials. The study proposes a comparatively effective algorithm for automatic and accurate static contact angle measurement of the blurry drop images.
机译：为了提高模糊滴图像的静态接触角评估的准确性，通过接触角仪器/数字照相机以数字方式生成或获取大量水滴图像。基于这些图像，系统地研究和比较了圆霍夫变换和圆拟合算法的适用性。结果表明，最小二乘圆拟合算法特别适合于清晰的水滴图像，例如通过接触角仪获取的图像。圆形霍夫变换特别适用于模糊的水滴图像，例如数码相机获取的图像。通过圆霍夫变换研究了接触角对接触角误差的影响。给出了与各种水滴量相对应的临界接触角值，这些临界接触角值可用于提高模糊液滴图像的静态接触角测量的准确性。提出了一种基于临界接触角的改进霍夫变换。改进的霍夫变换通过不同绝缘材料的静态接触角测量得到验证。该研究提出了一种相对有效的算法，用于自动和准确地测量模糊滴图像的静态接触角。

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