Applications Of Wavelet Transform To Visual Inspection Of Assembling Of The Manufacture Kit

With the high speed development of the social economy and computer technology, computer vision has become a synthetical subject and has a bright future for wide appliances in such fields as modern industry, national defense, medicine and space technology. Its appliances to great extent depends on digital image processing andpattern recognition. This thesis is about the project based on computer vision ------applications of wavelet transform to visual inspection of assembling of the manufacture kit. The subject comes from practice. On the assembly line of producing the manufacture kit there is the possibility that failure of assembly and malposition of manufacture kit would happen. In order to examine the errors in assembling the manufacture timely and effectively, in this subject some treatments are given to the image of the manufacture kit through the wavelet transform and the manufacture kit through the wavelet transform and the errors are recognized. The thesis details the whole process from the input of the image of the manufacture kit to the final recognition. The procedure of the visual inspection is as follows: First, the color image of the manufacture kit is put into computer by the CCD pickup camera for the purpose of the digital image processing. Second, the color image of the manufacture kit is converted to grayscale image so as to simplify the image processing. In addition, the size of the grayscale image is reduced for the improvement of actual effect of the image processing. Third, the gray-level histogram of image is equalized in order to reduce the influence of uneven light to the gray-level image. Fourth, the wavelet filter banks is constructed and the two-dimensional separable wavelet transform of the image is realized by the wavelet filter banks. Fifth the grads image of manufacture kit is gained on the base of wavelet transform and then image edge can be detected with the use of grads module of image. In the end , the inflection points of image edge can be detected with the use of one-dimensional wavelet transform and the recognition of the manufacture kit can be realized by the relation of the inflection points.