近年来,全球新一代信息技术创新浪潮迭起,成为公认的尖端领域和创新前沿.能够推动多领域的变革和跨越式发展,对传统行业可能产生颠覆性影响,人工智能正日益成为全球信息领域产业竞争的新一轮焦点.

Based on the digital image processing technology, this paper discusses some automatic detection methods of the transistor.First of all,the research preprocesses the target image by the means of basic image processing tools and image segmentation.Then,it completes the detection of transistor's pins by checking area and find out the position of the transistor by checking slope of center.

In a series of image frames of the moving object to the template method as a model for histogram matching, due to a very large amount of template matching. It is not possible to target the whole image, but also meet the real-time search and matching .If we aim to conduct a reliable estimate, it can be completed in a relatively small region of the search template. Kalman filter is a linear sequence of the dynamic systems, the state minimum variance estimation algorithm. Through dynamic equations to describe the equation of state and observation systems, it can arbitrarily observe point as a starting point, and recursive filtering method. It is a small amount with the characteristics of real-time computation.

As an important part of the technology for human-machine interface, facial expression recognition have drawn much attention recently. In this paper, we present an effective method ,which uses the discrete cosine transform (DCT) and back propagation (BP) neutral network . First ,processing including normalization and filtering is carried out on facial images .Then discrete cosine transform is introduced. At last, recognition is made based on the back propagation neutral network.