An investigation of rolling bearing early diagnosis based on high-frequency characteristics and self-adaptive wavelet de-noising.
Hongyu CuiYuanying QiaoYumei YinMing HongPublished in: Neurocomputing (2016)
Keyphrases
- high frequency
- multi resolution analysis
- denoising
- early diagnosis
- wavelet transform
- wavelet domain
- wavelet coefficients
- low frequency
- wavelet decomposition
- soft threshold
- subband
- low pass
- high resolution
- visual quality
- multiresolution
- wavelet packet
- wavelet analysis
- image denoising
- early stage
- medical treatment
- denoising algorithm
- computer aided
- discrete wavelet transform
- multiscale
- noisy images
- subband decomposition
- computer aided diagnosis
- high frequency components
- early detection
- image compression
- translation invariant
- digital images
- image processing
- face recognition
- prostate cancer
- image segmentation
- digital image processing