In order to shorten the time for image data processing, and increase the measuring speed, an original calibration method, including off-line and on-line calibration is proposed.
为缩短图像数据处理时间，提高测量速度，提出一种标定方法，包括离线标定和在线标定。
That using the reduction attributes of rough set reduced some redundant attributes, improved the real time of data processing by support vector machine, and shorten the time for training sample.
利用粗糙集的属性约简性来约简掉一些冗余属性，提高了支持向量机进行数据处理的实时性，缩短了训练样本的时间。
Compared with foreign reference design, this architecture to shorten the processing time and the data copying times, greatly reducing host spending, easy to chip physical implementation.
与国外参考设计相比，该系统架构缩短了协议处理的时间和数据拷贝，大大降低主机的系统开销，便于芯片物理实现。
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