Name
Abstract | ||
|---|---|---|
In this work, we introduce a method for the detection of faint moving object in optical astronomical image sequence. It is based on multiscale 2D-1D image analysis resulting from the à trous wavelet transform decomposition of the original image sequence. The sequence is decomposed into 2D-1D spatial-temporal IUWT(Isotropic Undecimated Wavelet Transform) coefficients. We get multiscale product of 2D-1D wavelet coefficients after thresholding of non-significant coefficients. The multiscale correlation of the filtered wavelet coefficients combines multiscale product coming from different levels of resolution and gives a distinctive characterization of the moving object. By accumulating the multiscale product of each image, the intensity of moving objects will be increased, which increases the accuracy of localization. Experiments performed on optical astronomical image data demonstrate the robustness and efficiency of the method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-31919-8_57 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
original image sequence,different level,multiscale correlation,multiscale product,optical astronomical image data,object detection,isotropic undecimated wavelet transform,filtered wavelet coefficient,wavelet coefficient,optical astronomical image sequence,image analysis | Isotropy,Object detection,Computer vision,Robustness (computer science),Artificial intelligence,Thresholding,Stationary wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet,Wavelet transform | Conference |
Volume | Issue | ISSN |
7202 LNCS | null | 16113349 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Yao | 1 | 96 | 9.89 |
| Feng Duan | 2 | 87 | 27.49 |
| Zhen Zhang | 3 | 53 | 6.68 |
| Yongpeng Zhang | 4 | 135 | 13.37 |