这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
为此，采用了以下的处理流程：阶梯图像预处理、阶梯边缘检测、台阶边沿提取。
Therefore, following processing steps are adopted: stair image preprocessing, stair edges detection, step edges extraction.
此外，运用边缘检测、轮廓提取和轮廓跟踪等算法将CT图像进行边缘以及轮廓的处理。
Besides, the algorithms of edge detection, contour extraction and contour trace have been adopted in ct imaging processing.
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