[1]赵 亚,王震洲.基于数字图像处理的pH试纸自动检测技术[J].机械与电子,2017,(07):56-59.
　ZHAO Ya,WANG Zhenzhou.On the Automatic Detection Technology of pH Test Paper Based on Digital Image Processing[J].Machinery & Electronics,2017,(07):56-59.
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基于数字图像处理的pH试纸自动检测技术
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2017年07期
页码:
56-59
栏目:
自动控制与检测
出版日期:
2017-07-25

文章信息/Info

Title:
On the Automatic Detection Technology of pH Test Paper Based on Digital Image Processing
文章编号:
1001-2257(2017)07-0056-04
作者:
赵 亚; 王震洲
(河北科技大学信息科学与工程学院, 河北 石家庄 050000)
Author(s):
ZHAO Ya; WANG Zhenzhou
(School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China)
关键词:
数字图像处理;  pH试纸;  人工视觉;  HSV色彩模型
Keywords:
digital image processing;  pH test paper;  artificial vision;  HSV color model
分类号:
TP317.4
文献标志码:
A
摘要:
为了研究出更高效、准确的pH试纸检测方法,提出了一种基于数字图像处理技术的pH值自动识别技术。该方法首先对照相机采集到的未知溶液的pH试纸图像进行目标区域的选取,并进行中值滤波和均值滤波,得到减噪之后的图片,再完成图像的RGB色彩模型到HSV色彩模型的转换,利用不同颜色的pH试纸对应着不同的H分量,找到pH值与H分量之间的关系。最后,根据检测未知溶液pH试纸的图片,得到其H分量的值,依据这一数据判定pH值。通过该方法对大量的不同待测溶液的pH试纸图片进行实验,结果表明该方法与人工视觉和电极法相比,具有很好的稳定性、高效性。
Abstract:
In order to develop a pH test paper detection method with higher efficiency and accuracy, an automatic pH value detection technology is presented based on the digital image processing technology. Firstly, the target area was selected from the pH test paper image of the unknown solution obtained by camera, and the noise reduced image was collected with the method of median and mean filtering. Secondly, the RGB color model of the image was converted to the HSV color model, and the relationship between the pH value and H component was found out according to the principle of different colors of the pH test paper corresponding to different H components. Finally, the value of the H component was obtained based on the pH test paper image of unknown solution, which could be used to determine the pH value. This method was tested in many images of pH test paper for different solutions. The experimental results show that this method, compared with the method of artificial vision and electrode, is of sound stability and high efficiency.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-03-07
作者简介:赵 亚(1992-),女,河北定州人,硕士研究生,研究方向为数字图像处理; 王震洲(1978-),男,河北石家庄人,副教授,硕士研究生导师,研究方向为信号检测和自动控制,图像处理和机器视觉等。
更新日期/Last Update: 2017-07-25