Detection of view-disturbing noise by using time-axial clustering in spatio-temporal image.
Taichi ArimasaHiromi YoshidaYoji IiguniPublished in: MVA (2017)
Keyphrases
- spatio temporal
- image noise
- image data
- image structure
- input image
- multiscale
- image analysis
- image features
- background noise
- random noise
- hough transform
- image content
- single image
- gaussian noise
- edge detection
- image retrieval
- low signal to noise ratio
- geometric distortions
- intensity variations
- test images
- imaging process
- image segmentation
- clustering algorithm
- clustering method
- similarity measure
- image classification
- bounding box
- keypoints
- millimeter wave
- image sequences
- object recognition
- moving objects
- additive noise
- image representation
- anomaly detection
- signal to noise ratio
- low frequency
- noisy environments
- noise free
- high resolution
- partial occlusion
- detection algorithm
- image edges
- multiple views
- image regions
- noise free image