Structured Light Image Denoising Based on Non-local Mean Filtering
An improved adaptive nonlocal mean filtering method combined with wavelet transform denoising is used to prepro-cess structured light images.Firstly,an effective adaptive detection window is used to confirm the noise points,and the noise pixels are replaced by the combination of three adjacent pixels.Then,the gray value of the noise points is reconstructed by non-local mean filtering based on the features of salt and pepper noise.Furthermore,the image is transformed by wavelet,and the high frequency component is filtered by directional median,and the denoised image is reconstructed by inverse wavelet transform.The experimen-tal results show that compared with the traditional method,the improved method can effectively filter out the noise in the structured light image and keep the details of the structured light fringe image.
structured light imagenon-local mean filternoise detectionwavelet transform
国家科技期刊平台
NSTL
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