After a series of image processing algorithms, the metal surface defect detection equipment based on machine vision detection can identify the defects of metal material and strip surface, such as common roll print, scratch, rust mark, feather grain, bonding and folding printing, which are widely used in steel and non-ferrous metals, which can help to reduce the incidence of leakage and increase the rate of leakage. The quality of the products has made the managers of metallurgical strip completely get rid of the state that the surface quality of products can not be fully grasps.
The principle of it is to take a high-speed CCD industrial camera to take real time pictures on the surface of the plate. After the digital processing, the picture is sent to the host for image processing. Through the calculation of the parameters, the characteristics of the sheet images are extracted to detect the information of the surface defects, and then the classification is classified.
Secondly, the signal is collected, filtered, detected, balanced, de-noised and estimated in the form of a number of visual detection devices, so as to get the form of signal that meets the needs, including image transformation, image coding, image enhancement, image restoration, image segmentation, image understanding, recognition system and so on.
Metal surface defect detection equipment based on machine vision detection can be used for the surface quality testing of cold rolled plate, pickling plate, automobile steel plate, stainless steel plate, color plate, galvanized plate, tin plate, gild plate, nonferrous metal strip and all kinds of composite strip materials. It is widely installed in cold rolling line, uncoiling line, dividing line, steel plate distribution, other metal material production and processing line and other fields.