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Q uality control is one of the important issues in the flexible printed circuit board (FPC) making industry. This paper propose a unsupervised defect detection approach based on wavelet packet fame for solving the problem of automatic inspection of Flexible Printed Circuit boards (FPC) gold surfaces. Detection of defects within the inspected texture of FPC gold surfaces is performed first by decomposing the gray level images into sub bands using wavelet packet frame, then by extracting corresponding features from some important subbands selected according to their subwindow average energy, finally by reducing feature dimensions with principal component analysis (PCA) and thresholding the result feature images. A number of images of FPC gold surface with a variety of defects have been tested and the experimental results which yielded visually good segmentation confirm the validity of the proposed algorithm.

In terms of the inspecting and measuring industry, where it is applied to dimensions measurement, requirements of modern industrial products, i.e. high quality inspection and et al.. dimensional measuring precision and high inspecting and In this paper, image inspecting and measuring technology measuring speed, a contact-less and automatic image measuring is applied to measure the dimensional parameters of products system based on image measuring and inspecting technology is presented. Its components and working principle is also sautomahtcally. The key algorithms are presented concerning discussed. Measuring principles and algorithms of typical plane of tcal lane eometric figures, recognation geometric figures are analyzed by taking the measurements of of geometric figures based on image feature parameters, the line and circle geometric figures as an example. The height measurement by visual automatic focusing, the recognition of geometric figures based on image feature correction of raster reading error and et al.. The test results parameters is presented. After the performance of several demonstrate that the image measuring and inspecting autofocus evaluating methods is compared, the algorithm of technology is efficient, which not only can meet the height measurement by visual automatic focusing is presented.requirements but also can make the inspection system to hold