Design And Implementation Of The Defect Detect System For Barrel

Design and implementation of automated detection system has significance in actual production. As the rapid development of computer vision technology, the industrial automation detection has been listed as the object of development which the world focuses on. Defect detection is an emerging technology in the direction of industrial automation detection, it is combined with different professional background in the field of knowledge, detection technology and method is in further explored and experiment.In this paper, defect detection system of the barrell is studied. Due to the manufacturing process, the defect detection system has a more complex content. In order to achieve a better non-destructive testing, a detection algorithm based on image processing for barrel wall is designed in the paper. The design of algorithm mainly use image graying, image binarization, marking connected region, defect of little area statistics and remove, image thinning, corner detection technology and so on. This algorithm process is designed to solve different defect types. The extraction of characteristic parameter is mainly used in the connected region squareness, circularity, the invariant moment, aspect ratio and other variables, this method can be separated from the defect and rifling. In the implementation and design of detect system, image acquisition and storage will be involved, and the same with system interface design and serial programming.The various functions of the system already completely implement, the defect detection algorithm is able to detect the severity of the defect, and reference value is given from the view of qualitative and quantitative point. This algorithm can recognize more than eighty percent defect, and have actual use value.