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Blood spatter trajectory analysis for spatter source reconstruction using image processing

机译:血液飞溅轨迹分析,利用图像处理重建飞溅源

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Traditional Techniques for Blood Source Recognition results in a crime scene contamination. The physical strings is most popular method. The impact angle identification and reconstruction of 3D trajectory are the main objective. Whereas the trajectory path is identified as a linear path. The human factor leads to number of error and false results. This method also neglect the gravity factor. The distance between the spatter and the blood source is found out by proposed method by use of the Image Processing. For this system uses analytical model construction based on using images of crime scene. The processing images for analysis of the blood spatter. The stages includes Ortho-rectification of image, the distance measurement from spatters to position from images, segmentation of blood spatter for analysis, construction of mathematical model which will be followed by gravity correction.
机译:传统的血源识别技术会导致犯罪现场污染。物理字符串是最流行的方法。主要目标是3D轨迹的撞击角识别和重建。而轨迹路径被识别为线性路径。人为因素导致错误数量和错误结果。这种方法也忽略了重力因子。飞溅物和血源之间的距离通过所提出的方法通过使用图像处理来找到。对于该系统,使用基于犯罪现场图像的分析模型构建。处理图像以分析血液飞溅。这些阶段包括图像的正射校正,从散点图到图像位置的距离测量,对散点图进行分析以进行分析,建立数学模型,然后进行重力校正。

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