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Method of and system for classifying objects using histogram segment features of multi-energy computed tomography images
Method of and system for classifying objects using histogram segment features of multi-energy computed tomography images
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机译:使用多能量计算机断层摄影图像的直方图分段特征对对象进行分类的方法和系统
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摘要
A method of and a system for identifying objects using histogram segment features from multi-energy CT images are provided. The multi-energy CT images include a CT image, which approximates density measurements of scanned objects, and a Z image, which approximates effective atomic number measurements of scanned objects. The method comprises: computing a density histogram for each potential threat object; smoothing the density histogram using a low-pass filter; identifying peaks in the smoothed density histogram; assigning a segment to each peak; computing histogram segment features for each segment; classifying each potential threat object into a threat or a non-threat using computed features.
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