首页> 外文会议>IEEE International Conference on Image Processing;ICIP 2012 >Coupled curve evolution equations for ternary images in sidescan-sonar images guided by Lamé curves for object recognition
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Coupled curve evolution equations for ternary images in sidescan-sonar images guided by Lamé curves for object recognition

机译:Lamé曲线引导下的侧扫声纳图像中三元图像的耦合曲线演化方程

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This paper proposes a new level set segmentation method which is guided by a parametric prior force based on Lamé curves. The use of prior knowledge is advantageous in order to improve the segmentation results in terms of matching expected object types because one can in general state that for different applications some shapes are more likely than others. By avoiding complex shape training processes the level set idea is extended with a parametric prior shape which forces the level set evolution to propagate towards the desired objects by not overpowering the image properties. Also a cross talk evolution is discussed for ternary images to handle correlations between adjacent or correlated objects.
机译:本文提出了一种新的水平集分割方法,该方法以基于拉梅曲线的参数先验力为指导。使用先验知识是有利的,以便根据匹配的预期对象类型来改善分割结果,因为一个人通常可以指出,对于不同的应用,某些形状比其他形状更有可能。通过避免复杂的形状训练过程,以参数先验形状扩展了水平集的概念,该形状通过不破坏图像属性而迫使水平集的演变向所需对象传播。还讨论了三元图像的串扰演变,以处理相邻或相关对象之间的相关性。

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