Automated X-Ray Inspection of Aluminum Castings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatica (Journal of IFAC)
Pattern recognition in nondestructive evaluation of materials
Handbook of pattern recognition & computer vision
Adaptive contrast enhancement through residue-image processing
Signal Processing
Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Detection of Random Signals on Random Backgrounds
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157)
Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157)
HDF: Heat diffusion fields for polyp detection in CT colonography
Signal Processing
Expert Systems with Applications: An International Journal
A cover image model for reliable steganalysis
IH'11 Proceedings of the 13th international conference on Information hiding
On the generalized likelihood ratio test for a class of nonlineardetection problems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal statistical fault detection with nuisance parameters
Automatica (Journal of IFAC)
Singularity detection and processing with wavelets
IEEE Transactions on Information Theory - Part 2
When is the generalized likelihood ratio test optimal?
IEEE Transactions on Information Theory
De-noising by soft-thresholding
IEEE Transactions on Information Theory
Wavelet transform methods for object detection and recovery
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Rate-distortion optimized tree-structured compression algorithms for piecewise polynomial images
IEEE Transactions on Image Processing
Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation
IEEE Transactions on Image Processing
Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data
IEEE Transactions on Image Processing
-Optimal Non-Bayesian Anomaly Detection for Parametric Tomography
IEEE Transactions on Image Processing
| Hi-index | 0.08 |
In this paper, a new methodology is presented for detecting anomalies from radiographic images. This methodology exploits a statistical model adapted to the content of radiographic images together with the hypothesis testing theory. The main contributions are the following. First, by using a generic model of radiographies based on the acquisition pipeline, the whole non-destructive testing process is entirely automated and does not require any prior information on the inspected object. Second, by casting the problem of defects detection within the framework of testing theory, the statistical properties of the proposed test are analytically established. This particularly permits the guaranteeing of a prescribed false-alarm probability and allows us to show that the proposed test has a bounded loss of power compared to the optimal test which knows the content of inspected object. Experimental results show the sharpness of the established results and the relevance of the proposed approach.