抗噪型最小平均相关能量滤波器

Minimum Average Correlation Energy Filter with Noise Immunity

最小平均相关能量(MACE)滤波器进行图像识别的主要特点是相关峰尖锐,易于判别。但它对畸变非常敏感,几乎没有抗噪能力,所以应用受到限制。针对不同的噪声类型,首先进行图像空域滤波,达到抑制噪声、突出目标的目的,然后再进行识别,提高了最小平均相关能量滤波器的抗噪能力和识别的准确性。

The main merit of minimum average correlation energy filter in image recognition is high peak acuity. But it is sensitive to distortion, and hardly has noise immunity ability, so its application is limited. For the noise of different types, the image that corrupted by noise is firstly filtered to suppress noise and stand out the object; then to be recognized. The computer simulation result shows that the proposed method can be applied to enhance the ability of filter to resist noise.