An Approximation-based Fault Detection Scheme for Image Processing Applications.
Matteo BiasielliLuca CassanoAntonio MielePublished in: DATE (2020)
Keyphrases
- detection scheme
- image processing
- fault diagnosis
- denoising
- machine vision
- fault detection
- pattern recognition
- color images
- hough transform
- image segmentation
- error bounds
- image denoising
- image enhancement
- approximation algorithms
- computer vision
- closed form
- mathematical morphology
- image registration
- computer graphics
- relative error
- image analysis
- approximation error
- multiscale
- feature extraction
- neural network
- approximation schemes
- real time
- image recognition
- image compression
- medical images
- probabilistic model
- lower bound
- learning algorithm