Research On Defect Recognition Technology Of Ceramic Tube Based On Machine Vision

With the development of computer technology, machine vision has become a branch of much more life-force and exploiting a new application area of nondestructive testing. The ceramic material has many excellent characteristics, but its fracture toughness is very low, and the process of production is rather special, so the quality of ceramic tube is difficult to control in batch production, therefore it's very significant to study detecting recognition of ceramic tube.According to the idea of modularizing design, in virtue of the technologies such as image processing, mechatronics, nondestructive testing and evaluating, PC and so on. A real time processing-algorithm based on machine vision was further studied, on this basis, the paper completed the research on the key technology and realize the system for detecting recognition of ceramic tube. It is very significant to realize auto classifier, enhance productivity, reduce production costs and reduce the labor.Through analyzing the features and application characteristics of ceramic tube, the principle of ceramic tube defects identified has been described, the general scheme of ceramic tube defect identification system has been came out. Using median filter to eliminate the image noise, and the image quality is greatly improved. After analyzes the advantages and disadvantages of each edge detection operator, this paper choose a suitable operator. Finally using the threshold segmentation method for binary image processing, calculate the area and perimeter of the binary defect image, and use the circular degree to judge and realize classifier. During the course of using the digital image processing to research and analyze defect image, the system software is developed by Visual C++6.0 and the modularization programming method, and the code has good readability and modifiability. The software is user-friendly, steadily and efficiently.