The DPIV Image Processing Software Based On Visual C++

PIV (Particle Image Velocimetry, is called PIV), the technology to take one kind of non-contact flow field survey technology, has overcome the former contact single point test technology limitation, can carry on the transient state plane two-dimensional flow field test, is one kind extremely has the prospects for development free-stream flow field survey technology, with the aid of the modern electronic technology and the computation technology development, in the recent 20 years flow imaging technology make a considerable progress. As the PIV test technology essential part, the image post-processing algorithm, has decided the processing result accuracy, the rapidity and the reliability, also is the research hot topic.In the PIV image post-processing algorithm mainly is the image match algorithm. And image matches algorithm divide into based on the image gradation match algorithm and based on the image characteristic match algorithm. PIV develops today, the majority post-processing software all uses based on the image gradation match algorithm, specially correlation algorithm, is opposite by it in other algorithms to the noise insensitively, matches the position accurately, no ambiguity direction and so on, obtained the widespread application. But because its cross-correlation operation must carry on the entire search image, its operand is extremely big, carries on when the match to the image costs the time to be huge, this regarding the PIV technology to the solid current events development is very disadvantageous.The present paper in the traditional cross-correlation algorithm foundation, has used one kind of improvement cross-correlation algorithm, unifies VC++'s formidable programming function, write the PIV image post-processing software, this match algorithm does not need to carry on the entire field to find out the match spot, omitted the time of compute in non-match spot, thus enhanced the computation speed, made one kind of try that need not to look up the entire field of search to be possible to find matches region, has obtained the quite satisfactory result. This software also differed from the past the PIV image post-processing software in the method of improper vectors deletion and correction, simplified the algorithm, and was obvious to the wrong vector revision effect. In addition, the present paper has also made some tentative plans to the PIV image post-processing algorithm future development.