| dc.description.abstract | A good optical imaging system must be established benchmarks in the absence of aberration ,The reasons can cause many types of aberration ,which is the most common reason for not focusing on any point on the same optical axis ,The ODM(Own Designing & Manufacturing) factory of DSC(Digital Still Camera) to solve the problem mostly use the laser on the favorite ,as the lens and the CCD Sensor parallel alignment correction ,However ,this type of equipment is more expensive.
Currently ,machine vision technology has been developed ,Widely application in all works of life and always can be find in technology of location alignment ,This paper is research how to measurement space ,after Image segmentation to distinguish between background and test samples ,using two CCD and set up at the working platforms top side and front side ,Calculate the Parallelism and spacing of sample XYZ axis is same or not with the design value ,through the learning process of Artificial neural network ,let error rate will be close to design values as low as ,and aberrations problem of digital camera could be improved.
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