基于Gabor滤波器的低对比度纸病检测算法

An Algorithm for Low Contrast Paper Defects Inspection Based on Gabor Filter

中文关键词:  Gabor滤波器  低对比度  边缘检测  形态学  纸病检测

Key Words:Gabor filter  low contrast  edge detection  morphology  paper defect inspection

中文摘要:

      针对现有的纸病检测算法对裂痕、褶皱等低对比度纸病检出率低、抗干扰能力差的问题，提出一种基于Gabor滤波器的纸病检测算法。首先使用Gabor滤波器以及Gaussian滤波器去除纸张纹理干扰，增强纸病区域对比度；然后使用Laplasian算法进行边缘检测，最后使用形态学闭运算得到完整的纸病边缘图像。实验结果表明，该算法对低对比度纸病检测正确率高，并具有良好的抗干扰性能。

Abstract:

      Traditional paper defect detection algorithms have the problems of low detection rate and poor anti-interference ability for low contrast paper defects such as cracks and wrinkles. Considering these problems， an algorithm of low contrast paper defects based on Gabor let filter was presented.Firstly， the Gabor filter and Gaussian filter were used to eliminate the texture elements and enhance the contrast. Then， Laplacian algorithm was used for edge detection. Finally， morphological closed operation was used to obtain a whole edge image.The simulation results indicated that this algorithm had the advantages of high detection rate， accurate positioning and good anti-disturbance performance for low contrast paper defects．