常用的活动轮廓模型主要包括参数活动轮廓模型和几何活动轮廓模型。
In general, active contour Models include parametric active contour model and geometric active model.
我们在分析参数活动轮廓和几何活动轮廓模型的基础上，提出最小方差参数活动轮廓模型，并成功应用于医学图像自动分割。
After analyzing snake and geometric active contour model, a minimum variation snake model was proposed and successfully applied to weak edge medical image segmentation.
该模型符合知觉特性，是几何活动轮廓模型的一般形式，且融合图像区域信息和边界信息。
The developed model, which incorporates the information of foreground and background regions, produces perceptual characteristics and is a general form of the geometric active contour model.
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