Research On Group Detection Methods In Imaging Technique Based On Morphology

Electronic products become increasingly integrated and stability of product quality directly depends on the processing accuracy of raw materials, so the qualities of the100%raw materials are demanded to detect (focus on size and surface quality). In traditional detection methods, the image analysis treats a single target and it is easily to distinguish the background from the main body. As one of important raw materials of electronic products, the "micro-ceramic substrate" with the small size and large detection quantities is different from the other industrial products. The general detection system can not meet the requirements of detection speed. In this paper, the cases on some ceramic substrate processing enterprises are researched. The main research work and innovations are as follows:(1) Electronic substrate processing enterprises are characterized by products with the order and the products are not fixed. Therefore, in processing there are a greater change in product specifications, the large output of each batch and a relatively short detection time. Traditional visual inspection system does not apply for the detection of these products. In this study, the features and shortcomings of the traditional machine vision inspection system are analyzed. The concept of "group detection" is first clearly stated, defined and compared with conventional testing methods.(2) Since the detected object is micro-target, the noise in sampled data seriously affects target detection. Traditional image preprocessing technique in the detection whether the spatial or frequency domain filtering will affect the positioning of the edge, the more obvious case is the drift of edge. In this paper, the characteristics of morphological processing model were analyzed and morphological processing methods were studied, especially the structural characteristics of operators. The partial differential equations for edge positioning were used in "group detection".(3) The primary function of light source in traditional visual inspection system is to strengthen the edge or target surface. Because ceramic material has a strong reflective surface, there will be a signal of secondary pollution in the data collection process with poor set or choices in light source. In this study, the different light sources with different combination programs were analyzed and compared in detail and the suitable solution on "group detection" was made.(4) Substrate manufacturing enterprises are characterized by yield, short production cycle and the frequent change product specifications. To make the system more robust, the development programs of detection system combined with common image library are used in the object-oriented development environment and the system architecture process is analyzed through the specific cases. In the study, products quality detection in electronic substrates company was explored and in the case of changing product specifications, the software in the original detection system was modified to ensure that the system can be reused. The technical problems of detecting under the increasing quality detection requirements are solved effectively and the competitiveness of enterprises are enhanced.(5) The corresponding detection system was researched and the computing results of test image were compared with the accurate measurement of professional electron microscopy. The results basically meet the testing requirements and the causes produced measurement deviations were analyzed.The analysis results of test data show that the detection accuracy of group visual inspection system based image library proposed in the paper can meet the requirements of accuracy and detection speed. The achievement obtained has a certain theoretical and great practical value for detection technology in micro-materials enterprises.