Wavelet analysis of X-ray images with low signal/noise ratio
Source abstract
Abstract
Abstract The wavelet analysis application has been examined for selection of contours in weak contrast images, obtained at radioscopy of large-scale power articles in operation. The comparison of accuracy of contours selection of simulated images has been conducted at their processing with Haar wavelet, symmetric Daubechies wavelet and Sobel classic operator. It has been shown that due to the multi-scale wavelet transform, increase in accuracy is achieved at signal/noise ratio of less than 10. Keywords: Real-time radioscopyImage contourWavelet analysisMultiscale transform
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Image and Signal Denoising Methods · Advanced Image Fusion Techniques · Numerical methods in inverse problems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The Institute of Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Science
References (10)
Show source-provided references
1. Halmshaw , R . 1987 . An analysis of the performance of X-ray television-fluoroscopic equipment in Weld inspection . Material Evaluation , 12 : 1298 – 1302 .
2. Rogerson , DJ . 1987 . Dynamic real-time radiography of solid-propellant rocket motors during static firing . Material Evaluation , 12 : 1330 – 1333 .
3. Pratt WK Digital Image Processing 1978 A Wiley-Interscience Publication New York
4. 10.1080/1058975031000161342410.1080/10589750310001613424 ↗
5. Efimov VG Wavelet analysis — new opportunities for NDT Nondestructive Testing and Evaluation Published
6. Lina J.-M. and Goulard. B. Sharpening enhancement of digitalized mammograms with complex symmetric Daubechies wavelets 17th IEEE and EMBS Conference 1995 Montreal.
7. 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;210.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 ↗
8. 10.1006/acha.1995.101510.1006/acha.1995.1015 ↗
9. 10.1137/1.978161197010410.1137/1.9781611970104 ↗
10. 10.1080/00029890.1968.1197099010.1080/00029890.1968.11970990 ↗