Detection Algorithm based on Wavelet Threshold Denoising and Mathematical Morphology.
Cui WangCaixia DengXinhua YueZhaoru ZhangPublished in: Int. J. Perform. Eng. (2020)
Keyphrases
- detection algorithm
- mathematical morphology
- denoising
- image processing
- image denoising
- translation invariant
- hard thresholding
- morphological operators
- gray scale
- image analysis
- detection accuracy
- detection method
- wavelet denoising
- soft thresholding
- binary images
- wavelet domain
- total variation
- partial differential equations
- noisy images
- motion detection
- natural images
- morphological operations
- denoising methods
- image and signal processing
- edge detection
- noise removal
- morphological image processing
- feature detection
- structuring elements
- adaptive neighborhood
- linear filtering
- pattern recognition
- morphological filters
- computationally simple
- harris corner
- spatially variant
- wavelet packet
- color images
- moving objects
- watershed transform
- wavelet coefficients
- graph cuts
- optical flow
- three dimensional
- machine learning
- neural network