散斑图像中的线条和边界检测。

Line and boundary detection in speckle images.

作者信息

Czerwinski R N, Jones D L, O'Brien W R

机构信息

Lincoln Lab., MIT, Lexington, MA 02420, USA.

出版信息

IEEE Trans Image Process. 1998;7(12):1700-14. doi: 10.1109/83.730381.

DOI:10.1109/83.730381

PMID:18276236

Abstract

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.

摘要

本文考虑了在散斑图像中检测线条的问题，例如合成孔径雷达（SAR）或超声技术所产生的图像。利用解释散斑现象的物理原理，我们推导了完全发展的散斑中线条的最优检测器，并将该最优检测器与几种计算效率更高的次优检测规则进行了比较。我们表明，当噪声不相关时，一个非常简单的次优检测规则近乎最优，而且即使在有色散斑中，一类相关的检测器也能接近最优性能。最后，我们还讨论了该技术在医学超声图像中的应用，其中组织边界的检测被视为一个线条检测问题。