不同光照下织物瑕疵检测方法研究

Research on Fabric Defects Detect Methods under Different Illumination

摘要: 本文研究的目的是检测不同光照下纺织工业中织布的瑕疵，不同光照下的织布图像清晰度不同，但却都非常有周期性，有方向性。所以本文提出了一种基于傅里叶极坐标变换的方法：该方法将图像在频域内的频谱能量转化到极坐标中，在极坐标中统计同一角度的能量值总和找到织布图像纹理主方向。降低该方向能量，可增强瑕疵的突出性。实验证明，该方法检测织物瑕疵准确率高可以满足不同光照下的实时检测要求。

Abstract: This paper aims to detect the defect of fabric under different illumination in texture industry. Al-though the definitions of fabric images are different under different illumination, they all have strong cyclicity and directionality. So a detection method is presented based on Fourier-polar coordinate processing in this paper. In frequency domain, the spectrum energy is transformed to the polar coordinate. Then in the polar coordinate, the sum of energy is added up at the same angle, and the main direction of image texture is found according to the energy sum. Salience of defect is enhanced by lowering the energy on the main direction. Experiments show that the method for detecting fabric defects with high accuracy can meet the requirements of real-time detection under different illumination.