The quality of the subtraction image was improved and computation time was reduced by selecting edge pixels as triangular control points.
通过计算图像梯度信息，选取边缘区域像素作为控制点，既改善减影图像质量，又提高运算速度。
The set of edge pixels detected by this algorithm is a useful cue for object's boundary, so it can be taken as an important feature for the human detection system.
该算法检测到的边缘可以反映物体的轮廓信息，因此可以通过边缘组织高效地检测图像中的人体目标。
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。
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