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超声图象的自适应线边界检测方法

DOI: 10.11834/jig.20030121

Keywords: 斑点,超声,边界检测,窄条,区域增长,局部方差均值比率

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Abstract:

针对超声图象存在一种特殊的斑点噪声,使图象边界与细节变得模糊,而严重影响图象质量的问题,提出了一种自适应线边界检测方法,即以不同方向与不同大小的“窄条”来近似组织边界,这种“窄条”是指具有不同长度、方向各异的线段.该方法首先将经过每一像素点的“窄条”的最大投影作为该点的灰度值;然后应用假设试验优化方法确定“窄条”方向,而“窄条”的长度由基于区域增长的局部统计特性决定.通过引入噪声抑制与边缘保留量化参数,进行了仿真斑点图与组织超声图的处理实验,并与自适应斑点抑制滤波、直接线边界检测方法进行了比较,结果证明,该方法不但能有效地抑制斑点噪声、而且能很好地保留与增强图中的组织边界与局部细节.

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