Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images
Pattern Recognition Letters - Speciqal issue: Ultrasonic image processing and analysis
Terrain Analysis Using Radar Shape-from-Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
A diffusion stick method for speckle suppression in ultrasonic images
Pattern Recognition Letters
Prostate ultrasound image processing
Crossroads
Speckle reduction and structure enhancement by multichannel median boosted anisotropic diffusion
EURASIP Journal on Applied Signal Processing
Expert Systems with Applications: An International Journal
Automated polar ice thickness estimation from radar imagery
IEEE Transactions on Image Processing
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This paper considers the problem of detecting lines in speckle imagery, such as that produced by synthetic aperture radar (SAR) or ultrasound techniques. Using the physical principles that account for the speckle phenomenon, we derive the optimal detector for lines in fully developed speckle, and we compare the optimal detector to several suboptimal detection rules that are more computationally efficient. We show that when the noise is uncorrelated, a very simple suboptimal detection rule is nearly optimal, and that even in colored speckle, a related class of detectors can approach optimal performance. Finally, we also discuss the application of this technique to medical ultrasonic images, where the detection of tissue boundaries is considered as a problem of line detection