中国计算机自动测量与控制技术协会——《计算机测量与控制》杂志社 关键词： 邻域粗糙集；踏面缺陷；图像特征选择 [gap=1029]Keywords: neighborhood rough sets; tread defect; image features selection
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image features selection and analysis 图像特征提取和分析
An algorithm using threshold selection and edge detection to extract target features from infrared image was proposed.
提出了一种阈值选取与边缘检测相结合提取红外图像特征的方法。
Image features extraction and selection are the premise of the defects classifier built-up.
缺陷图像的特征提取和选择是缺陷分类器设计的前提。
Through the fine circuit design and device selection, the experiment features in volume, power consumption, the quality of the image and the sensitivity are obtained.
通过合理的器件选择和电路设计，其在体积、功耗、图像质量、灵敏度等方面都有着较好的表现。
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