首页> 外文会议>Conference on Medical Image Acquisition and Processing Oct 23-24, 2001, Wuhan, China >A Dynamic Programming Based Algorithm for Optimal Edge Detection in Ultrasound Images
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A Dynamic Programming Based Algorithm for Optimal Edge Detection in Ultrasound Images

机译:基于动态规划的超声图像最佳边缘检测算法

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This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.
机译:本文探索了一种基于动态规划(DP)的超声图像(USI)边缘检测的最佳技术,该技术现在比以前受到的限制更少。动态规划是多阶段决策中的最佳方法。在图像分割系统中,我们希望找到具有连通性和紧密性的全局最优轮廓。 DP算法处理对象图像以获得最小的累积成本矩阵,以追踪全局最优边缘。结合LUM非线性增强滤波器和高斯预处理器,该方法在噪声图像边缘检测中显示出鲁棒性。

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