利用图像标定的基本图，为二值图像边界的识别构造了一个自动机，自动机的输出就是边界链编码。
Based on basic graphs of image labeling, an automaton, with the boundary chain code as its outputs, for the boundary recognition of the two-value digital images, is constructed.
该方法首先基于邻域灰度极值提取边界候选图像，然后以边界候选象素及其邻域象素的二值模式作为样本集，输入边缘检测神经网络进行训练。
The method uses a logical judgment algorithm to get edge candidate images, and then edge pixels and their neighbor pixels compose the binary samples of the BP neural network.
该算法首先对图像进行边界提取并二值化，然后利用所定义的基于边缘的相似距离(esd)对处理后的二值图像进行相似性匹配运算。
Firstly the new algorithm processes the image by extracting edge and thresholding, then calculates the correlation of the binary images using the defined ESD distance.
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