Automatic crack detection on pressed panels using camera image processing
Abstract »Panel crack detection during the manufacturing process is an important step for ensuring the quality in the industry. Traditional crack detection methods are subjective and expensive because they are performed by human inspectors. Therefore, implementation of on-line and precise crack detection is necessary during the panel pressing process. In this paper, two image process based crack detection methods are developed by inspecting panel product images obtained by a regular CCTV camera system. The first technique is based on evaluation of the panel edge lines which are extracted from a percolated object image. This technique does not require a baseline image for crack detection. Another technique is based on the comparison between a base and a test image using the local image amplitude mapping. Experiments are performed in the laboratory and in the actual manufacturing lines. Experimental results demonstrate that the proposed method could effectively detect the panel cracks with improved speed.