对叶片视觉图像进行预处理,提高测量系统对图像的识别精度。
The image of blade vision is pro treated for improving identify precision of the system image.
结果表明,使用奇异值解法能够明显提高频时域法的识别精度。
Assessment results show that the SVD technique can obviously improve identification accuracy as compared to the PI solution.
试验结果表明,该方法可以有效地抑制无用信号,具有较高的识别精度。
Experimental results showed that this method can decrease void signals and improve the accuracy of identification.
应用推荐