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Adaptive algorithm for edge detection in medical image processing

机译:医学图像处理中边缘检测的自适应算法

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This paper presents a method of automatic segmentation in sequence medical tissue slice images with high noise. A seed growing method which is constrained by the parameter table is used to detect edge. Priority and step parameter are used to adaptive adjust the detection. The paper described the mechanism to change the priority and detect parameter and their step in detail. The authors designed an evaluation function to search the state space.
机译:本文介绍了具有高噪声的序列医学组织切片图像中自动分割的方法。由参数表约束的种子生长方法用于检测边缘。优先级和步骤参数用于自适应调整检测。本文描述了改变优先级和检测参数及其详细步骤的机制。作者设计了搜索状态空间的评估函数。

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