First,a modified scale-invariant feature transform(SIFT)local descriptor is used to characterize the image features in the vicinity of each pixel,so that the deformable model deforms in a way that seeks for the region with similar SIFT local descriptors;second,the deformable model is constrained by both population-based and patient-specific shape s.
首先,一个修改的尺度不变特征变换(SIFT)局部描述算子被用于表示每一像素周围的图像特征,以便模型是以寻找区域内最相似的SIFT局部描述算子的方式变形：其次,可变形模型受到基于群体和基于特定病人的形状统计的约束。
Two requirements of local structure descriptors are discussed first, and then the defects of the linear structure tensor in local structural information extraction are analyzed.
在讨论了局部结构描述子应满足2个必要条件的基础上,分析了线性结构张量在提取局部结构信息中的不足;将非线性结构张量用于构造自适应保真项,使得总变差去噪方法具有更好的去噪能力。
