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Volume Estimation from Uncalibrated Views Applied to Wound Measurement

机译:从未校准视图进行体积估计以应用于伤口测量

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摘要

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项目的目的是为医务人员提供客观准确的2D和3D测量结果,以通过低成本数码相机免费获取的彩色图像进行伤口愈合评估。本文解决的问题是从未校准的视图进行体积估计。我们提出两个实验。对合成扰动数据进行的蒙特卡洛模拟导致重构点的平均误差为3%。然后,从两个未校准的真实图像获得的基于三角剖分的体积估计给我们带来了希望达到小于5%的精度的希望。因此,该技术适用于精确的伤口3D测量。结合真彩色图像处理进行比色组织评估,这种低成本系统将是临床环境中诊断辅助和治疗监测的合适工具。

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