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Volume Estimation from Uncalibrated Views Applied to Wound Measurement

机译:从靶向测量的未校准视图的体积估计

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The aim of the ESCALE project is to supply the medical staff with objective and accurate 2D and 3D measurements for wound healing assessment from color images acquired in a free manner with a low cost digital camera. The problem addressed in this paper is the volume estimation from uncalibrated views. We present two experimentations. A Monte Carlo simulation on synthetic perturbated data leads to an average error of 3% on reconstructed points. Then, triangulation based volume estimation obtained from two uncalibrated real images gives us hope that an accuracy less than 5% is achievable. So this technique is suited to accurate wound 3D measurements. Combined with true color image processing for colorimetric tissue assessment, a such low cost system will be appropriate tool for diagnosis assistance and therapy monitoring in clinical environment.
机译:Escale项目的目的是向医务人员提供客观和准确的2D和3D测量,用于从自由方式获得的彩色图像以低成本数码相机获取的彩色图像。本文解决的问题是未校准视图的卷估计。我们提出了两个实验。合成扰动数据的蒙特卡罗仿真导致重建点的平均误差为3%。然后,从两个未校准的真实图像获得的基于三角估量的音量估计使我们希望能够实现小于5%的准确性。因此,这种技术适用于准确的伤口3D测量。结合真正的色组织评估的真实彩色图像处理,这种低成本系统将是临床环境中诊断辅助和治疗监测的适当工具。

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