基于差分图像的灰度信息匹配算法在轮胎检测中的应用
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摘要
数字图像处理中经常使用图像模板匹配算法进行图像纹理检测,该文研究了几种图像模板匹配方法并提出基于差分图像的灰度信息匹配算法来进行轮胎检测。通过对轮胎纹理特点的研究,表明该算法比较适合于进行轮胎图像检测,其主要是将需要评测的轮胎图像与标准模板图像的灰度信息进行比较,并且将两者的灰度信息进行像素值相减从而得到轮胎的差分图像,最后对得到的差分图像的灰度信息进行特征分析找出轮胎缺陷的过程。大量实验数据表明基于差分图像的灰度信息匹配算法使轮胎检测更加客观准确,能够提高轮胎检测效率。
Image matching algorithm is often used in digital image processing for image texture detection,this paper studied several image matching methods and put forward gray level information matching algorithm based on differential image to detect the tire.According to tire texture feature the algorithm is more suitable for tire image detection.Its essence is that to compare and subtract the gray image value of the tire with standard template image,and the process of feature extraction from the tire differential image.The experimental results show that the gray level information matching algorithm based on differential image makes the tire detection more objective and accurate,and can improve the detection efficiency.
Image matching algorithm is often used in digital image processing for image texture detection,this paper studied several image matching methods and put forward gray level information matching algorithm based on differential image to detect the tire.According to tire texture feature the algorithm is more suitable for tire image detection.Its essence is that to compare and subtract the gray image value of the tire with standard template image,and the process of feature extraction from the tire differential image.The experimental results show that the gray level information matching algorithm based on differential image makes the tire detection more objective and accurate,and can improve the detection efficiency.
引文
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[2]马莉,范影乐.纹理图像分析[M].北京:科学出版社,2009:78-99.
[3]冯霞,石超,丁文波,等.基于傅里叶变换的频谱分析法在X射线轮胎检测中的应用[J].CT理论与应用研究,2014,23(3):453-458.
[4]刘传才.图像理解与计算机视觉[M].厦门:厦门大学出版社,2002:33-45.
[5]金向宁.子午线轮胎X射线检测设备的开发与研制[J].橡胶技术与设备,1998,24(6):47-49
[6]冯霞.基于数字图像处理的轮胎缺陷检测[D].济南:山东大学,2011.
[7]肖振,冯玉田.抵抗仿射变换攻击的图像归一化方法研究[J].微计算机信息,2007,5(3):275-276.
[8]Rafael C.Gonzalez,Richard E,et al.数字图像处理(MATLAB版)[M].北京:电子工业出版社,2007:125-128.