Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Adaptive unsharp masking for contrast enhancement
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Wavelet series based iterative learning controller design for industrial robot manipulators
International Journal of Computer Applications in Technology
Spatially adaptive wavelet thresholding with context modeling for image denoising
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
IEEE Transactions on Image Processing
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This article introduces a new algorithm of crack edge enhancement of straddle-type monorail track beam surface based on non-subsampled contourlet transform (NSCT). According to the characteristics that the low frequency can be retained and mid-frequency can be enhanced by fractional differential approach non-linearly, a new enhancement method that the smooth subband of NSCT domain can be enhanced by fractional differentiation has been proposed; while in the high-frequency subbands of NSCT domain, each pixel of high-frequency subband is divided into strong edge, weak edge and noise on the basis of direction sensitivity characteristics, then the weak edge can be enhanced non-linearly, strong edge be retained, and noise be removed by a new constructed non-linear function. Experimental results show that the method proposed in this paper has greatly improved visual effects and larger contrast improvement index (CII) as compared with other enhancement methods, and the enhancement effect is very good.