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- W2170936146 abstract "A fundamental problem in ultrasonic imaging is the presence of clutter signals which can sometimes conceal targets of interest to such a degree that their detection is impossible. A nonlinear minimization technique previously shown to improve clutter rejection in one dimensional A-scans is applied to two dimensional imaging. Digital filtering techniques are applied in order to partition the frequency spectrum of a two dimensional ultrasonic image. The two dimensional frequency bins are then inverse Fourier transformed to yield an ensemble of filtered images which are quasi-decorrelated with respect to clutter. The recently developed minimization technique then utilizes this decorrelation to achieve a significant amount of clutter rejection in the processed images. Results of the minimization are then compared and shown to be superior to those obtained using convent ional averaging techniques ." @default.
- W2170936146 created "2016-06-24" @default.
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- W2170936146 date "1983-01-01" @default.
- W2170936146 modified "2023-09-23" @default.
- W2170936146 title "A Two Dimensional Approach to Clutter Rejection in Ultrasonic Images" @default.
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- W2170936146 doi "https://doi.org/10.1109/ultsym.1983.198213" @default.
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