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摘要
Image segmentation is an important process in computer vision. This paper explores a novel dynamic programming (DP) based optimal technique in medical image segmentation, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, a global optimal contour with connectedness and closeness was investigated. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM (low-upper-middle) nonlinear enhancement filter and Gaussian preprocessor, this method shows the robustness edge detection in noisy images.
- 出版日期2002-10
- 单位上海交通大学
