Detecting defects in repeatedly patterned image with spatially different level of noise.
Deokyoung KangHae-na LeeSuk I. YooPublished in: ICIP (2014)
Keyphrases
- digital images
- image noise
- image data
- image classification
- random noise
- background noise
- single image
- image structure
- multiscale
- image features
- transformed image
- input image
- image analysis
- pixel level
- image representation
- low level
- low snr
- denoising
- edge detection
- median filtering
- denoising algorithm
- image segmentation
- additive noise
- low frequency
- geometric distortions
- image collections
- region of interest
- test images
- degraded images
- image edges
- segmentation method
- high contrast
- feature points
- high resolution
- image retrieval
- noise sensitivity
- salt pepper
- denoising methods
- impulse noise
- image content
- image matching
- high frequency
- image regions
- object recognition
- pixel intensities
- noisy data
- defect detection
- segmentation algorithm
- imaging process
- similarity measure
- surface defects
- feature extraction