Name
Abstract | ||
|---|---|---|
An adaptive smoothing technique for speckle suppression in medical B-scan ultrasonic imaging is presented. The technique is based on filtering with appropriately shaped and sized local kernels. For each image pixel, a filtering kernel, which fits to the local homogeneous region containing the processed pixel, is obtained through a local statistics based region growing technique. The performance of... |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/42.387710 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Speckle,Adaptive filters,Biomedical imaging,Filtering,Kernel,Pixel,Smoothing methods,Ultrasonic imaging,Statistics,Testing | Computer vision,Speckle pattern,Imaging phantom,Filter (signal processing),Image processing,Region growing,Artificial intelligence,Pixel,Adaptive filter,Speckle noise,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 2 | 0278-0062 |
Citations | PageRank | References |
51 | 4.11 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M Karaman | 1 | 51 | 4.11 |
| M.A. Kutay | 2 | 685 | 76.95 |
| G. Bozdagi | 3 | 221 | 21.93 |