GAC-based segmentations have the change flexibility of topological structure; however, they have the drawbacks of long evolving time and boundary leaking.
然而,基于GAC模型的图像分割有演化时间长和边界泄漏两个缺点。
参考来源 - 基于偏微分方程的图像分割·2,447,543篇论文数据，部分数据来源于NoteExpress
然而，基于GAC模型的图像分割有演化时间长和边界泄漏两个缺点。
However, GAC-based segmentations have the drawbacks of long evolving time and boundary leaking.
之所以这样，原因之一是跨越模块边界的类泄漏。
One of the reasons why this is usually the case is to do with class leakage across module boundaries.
计算结果表明：不同压比下，热边界热流增加泄漏减小，增强了封严效果。
The computational results state that the leakage goes down as heat flux of the heating boundary rises, and thus the sealing effectiveness under different pressure ratios is enhanced.
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