Low level image processing is the base of localization. The paper discusses time domain filtering and frequency domain filtering according to the noise disturbance in the surrounding images.
低层视觉图象处理是视觉定位的基础，针对环境图象存在噪声干扰的特点，文章分别从时域和频域上分析了图象滤波的方法。
Filtering algorithms base on space, frequency, wavelet and time have been introduced to reduce noises caused by environmental and lighting conditions in the video image sequences.
针对视频图像存在由于环境、光照等原因所引起的噪声的特点，应用基于空间域、频域、小波域和时域等多种去噪方法。
Filtering algorithms base on space, frequency, wavelet and time have been introduced to reduce noises caused by environmental and lighting conditions in the video image sequences.
针对视频图像存在由于环境、光照等原因所引起的噪声的特点，应用基于空间域、频域、小波域和时域等多种去噪方法。
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