A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Detection of Pavement Cracks Based on Non-local Image Denoising and Enhancement
Non-local method is a very effective method to eliminate Gaussian white noise in images, but the pavement image noise is usually non-Gaussian. In this paper, a non-local based method of denoising and enhancement of pavement crack images is proposed. First, morphological corrosion operator is used to convert the image noise of pavement into near-Gaussian noise; Second, using an improved (Block-match 3D Filtering) BM3D denoising and enhancement method to denoise and enhance pavement images; Finally, the remaining noise is removed by block cosine transform combined with gradient value. The experimental results show that the proposed method can achieve ideal pavement cracks detection results.
Detection of Pavement Cracks Based on Non-local Image Denoising and Enhancement
Non-local method is a very effective method to eliminate Gaussian white noise in images, but the pavement image noise is usually non-Gaussian. In this paper, a non-local based method of denoising and enhancement of pavement crack images is proposed. First, morphological corrosion operator is used to convert the image noise of pavement into near-Gaussian noise; Second, using an improved (Block-match 3D Filtering) BM3D denoising and enhancement method to denoise and enhance pavement images; Finally, the remaining noise is removed by block cosine transform combined with gradient value. The experimental results show that the proposed method can achieve ideal pavement cracks detection results.
Detection of Pavement Cracks Based on Non-local Image Denoising and Enhancement
Hou, Yingkun (author) / Hou, Hao (author) / Liu, Guang-Hai (author) / Hou, Junjie (author)
2018-07-01
1436933 byte
Conference paper
Electronic Resource
English
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