In addition, gradient direction constraint of edge point was introduced. Matching algorithm based on aforementioned constraints was proposed.
此外还介绍了边缘点的梯度方向约束，给出了基于以上约束条件的边缘线匹配算法。
To construct a valid smoothness constraint, an edge-directed tensor diffusion is used, which can automatically select to denoise or to enhance edge according to the direction of edges.
在光滑性约束项的构造上，构造了一种基于边缘定向扩散的各向异性张量型扩散方程，能有效地根据边缘的方向确定是增强边缘还是滤除噪声。
Then the matching support can be calculated according to length distortion, direction distortion, gray distortion, and double faces constraint.
然后，根据影像的长度变形、方向变形、灰度变形及双向一致性条件，计算匹配支持度；
Then the matching support can be calculated according to length distortion, direction distortion, gray distortion, and double faces constraint.
然后，根据影像的长度变形、方向变形、灰度变形及双向一致性条件，计算匹配支持度；
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