【摘要】 在现代印刷电路板生产过程中,焊点质量检测是其中的一个重要组成部分。然而随着电子元器件封装的不断小型化,焊点质量检测也变得越来越具有挑战性,传统的依靠人工检测的方式已经越来越不能满足实际生产的需要,同时,基于图像处理与人工智能的自动光学检测技术在焊点质量检测中得到越来越广泛的应用。在此提出一种将双方向二维线性判别分析和支持向量机相结合的焊点质量自动光学检测方法。实验结果表明,该方法能够取得良好的识别效果。更多还原

【Abstract】 During the production of printed circuit board,quality detection of welding spot is an important component. However,with the miniaturization of electron components’ package,quality detection of welding spot becomes more and more challenging and traditional detection methods based on artificial detection can’t satisfy needs of practical production. Meanwhile,automatic optic inspection based on image processing and artificial intelligence technology has been used in quality detection of welding spot more and more extensively. A kind of automatic optic inspection method combined with two directional two-dimension linear discriminant analysis and support vector machine in quality detection of welding spot is put forward in this paper.The experimental results indicate that this method is helpful in recognization.更多还原