Defect detection method using rotational morphology

Abstract

In factories, it has recently become very important to detect defects such as cracks in products automatically. In order to achieve this, auto crack detection systems using photo images from digital cameras have been proposed. However, in conventional methods using edge lines detected and extracted by something such as a Sobel filter, it is difficult to distinguish between the original lines on the product surface and those of cracks, especially in the case of noisy images. In order to overcome these difficulties, we have proposed a new method using rotational morphology. Rotational morphology is a kind of mathematical morphology with rotated structuring elements. Finally, some simulations are carried out to confirm the effectiveness of our proposed method.