Real-time Multi-Spectral Image Processing for Mapping Pigmentation in Human Skin
Real-time Multi-Spectral Image Processing for Mapping Pigmentation in Human Skin
复制标题
用于绘制人体皮肤色素沉着图的实时多光谱图像处理
DOI：
10.2352/cic.2001.9.1.art00015
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Y. Miyake
中科院分区：
文献类型：
--
作者：
Daisuke Nakao;N. Tsumura;Y. Miyake
摘要 实时测绘人体皮肤色素沉着有望为再现各种肤色和实时监测人体状况提供有用的信息。在这项研究中，通过使用三个预先计算的颜色转换查找表，根据数字视频信号实时估计和显示皮肤中的黑色素、氧合血红蛋白和脱氧血红蛋白密度图。作为显示所提出系统有效性的实验，在中指的咬合和释放期间以及在深蹲无氧运动期间观察到人手色素沉着图随时间的变化。从实验结果来看，可以实时观察人体稳态是否受到干扰。简介 绘制人体皮肤中的色素（例如氧合血红蛋白和脱氧血红蛋白）有望为我们提供有关人类状况和情绪的有用信息。获得的信息将用于皮肤诊断、肤色再现、人类情感测量[1, 2]。我们已经提出了通过逆光学散射技术[1]从多通道可见光谱图像[3,4,5]中提取色素的定性信息和空间分布的技术。采用光子迁移的蒙特卡罗模拟作为光学散射的正演模型，并迭代该正演模型以实现基于非线性优化方法的逆光学散射技术。这项技术需要很长时间才能完成。然而，测量人类状况和情绪的变化需要实时处理。在这项研究中，我们介绍了通过使用三个预先计算的颜色转换查找表来实时映射人体皮肤色素沉着的技术。第一个表将数码摄像机的 RGB 值转换为三个主要成分的三个分数。使用维纳估计来制作RGB值和光谱反射率之间的表格，并根据预先计算的主成分分析成三个分数。第二个表通过使用逆光学散射技术将分数转换为色素沉着值。由于分数值有效地反映了反射光谱的光谱变化，因此第二个表被认为对于估计色素沉着值非常有效。值得注意的是，这种从分数到色素沉着的转换最初是在本研究中提出的。第三个表将色素值转换为 RGB 值以在监视器上显示。第一个和第三个表取决于设备和环境，第二个表是独立的。需要注意的是，整个过程是由三个表构建的，以将设备独立过程和设备相关过程分开，因为通过人体皮肤模型的蒙特卡罗模拟[6,7,8,9]等，制作第二个表大约需要10天。进行了两个实验来证明我们的系统对人手色素沉着图随时间变化的有效性。手的上下运动、中指的咬合和松开、下蹲运动无氧时观察到色素沉着。
Abstract Real-time mapping pigmentation in human skin is expected to give useful information for reproducing various skin colors and monitoring human conditions in real time. In this research, the maps of melanin, oxy-hemoglobin and deoxy-hemoglobin densities in skin are estimated and displayed in real time from digital video signals by using three pre-computed look up tables for color conversions. As the experiments to show the effectiveness of the proposed system, time dependent changes of pigmentation map in human hand are observed during the occlusion and release of middle finger, also during anaerobic by squat exercise. From the results of the experiments, human homeostasis for disturbance can be observed in real time. Introduction Mapping pigmentations such as oxy-hemoglobin and deoxy-hemoglobin in human skin is expected to give us helpful information about human condition and emotion. The obtained information will be used for skin diagnosis, skin color reproduction, measurement of human emotion[1, 2]. We have already proposed the technique to extract qualitative information and spatial distribution of pigmentations from multi-channel visible spectral image[3, 4, 5] by inverse optical scattering technique[1]. The Monte Carlo simulation of photon migration is used as forward model of optical scattering, nd the forward model isa iterated to perform the inverse optical scattering technique based on non-linear optimization method. This technique needs a long time to complete the process. However, a real-time processing is required in measuring changes of human condition and emotion. In this research, we introduce the technique of real-time mapping pigmentation in human skin by using three pre-computed look up tables for color conversions. The first table converts RGB values from digital video camera into three scores for three principal components. Wiener estimation is used to make the table between the RGB values and spectral reflectance which is analyzed into the three scores based on the pre-computed principal components. The second table converts the scores into pigmentation values by using inverse optical scattering technique. Since the values of scores effectively reflect the spectral variation of reflectance spectra, the second table is considered very effective to estimate the pigmentation values. It isnoted this conversion from scores to pigmentations is originally proposed in this research. The third table converts the pigmentation values into RGB values to display on a monitor. The first and third tables are dependent on devices and environment, and he second ttable is independent. It is noted that the total process is constructed from the three tables to separate the device independent process and devices dependent process, because making the second tables takes about 10 days by Monte Carlo simulation of human skin model[6, 7, 8, 9] and so on. Two experiments are performed to show the effectiveness of our system with time dependent changes of pigmentation map in human hand. Pigmentations are observed during putting hand up and down, occlusion and release of middle finger, and anaerobic by squat exercise.
影响因子：
6.1
作者：
WANG, LH;JACQUES, SL;ZHENG, LQ
通讯作者：
ZHENG, LQ