A study on age estimation based on skin surface texture

Xue Jinxia; Li Lingyu; Gan Ping; He Xiangqian

doi:10.13406/j.cnki.cyxb.001171

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A study on age estimation based on skin surface texture

更新时间：2024-01-17

- A study on age estimation based on skin surface texture
- Journal of Chongqing Medical University Vol. 42, Issue 2, Pages: 205-208(2017)
- 作者机构：
  
  重庆医科大学医学信息学院
- 作者简介：
- 基金信息：
- DOI：10.13406/j.cnki.cyxb.001171
  CLC： R339.3;TP391.41
- Published：2017，
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Xue Jinxia, Li Lingyu, Gan Ping, et al. A study on age estimation based on skin surface texture. [J]. Journal of Chongqing Medical University 42(2):205-208(2017)
DOI：

Xue Jinxia, Li Lingyu, Gan Ping, et al. A study on age estimation based on skin surface texture. [J]. Journal of Chongqing Medical University 42(2):205-208(2017) DOI： 10.13406/j.cnki.cyxb.001171.

摘要

目的:通过对人体皮肤表面图像进行纹理形态特征分析

探索一种新的医学年龄推断方法。方法:应用计算机图像分析技术

对180例西南地区室内工作者的前臂腹侧中段部位皮肤图像进行纹理特征分析

计算出3个皮肤纹理参数(网格数、网格平均面积以及灰度共生矩阵)

最后运用统计学方法分析这些纹理参数与年龄的相关性

得出依据皮肤纹理参数推断年龄的关系式。结果:数据表明

随着年龄的增长

皮肤表面纹理中的网格数不断减少(男性:r=-0.745

P=0.000;女性:r=-0.792

P=0.000)

网格面积不断增大(男性:r=0.712

P=0.000

女性:r=0.809

P=0.000)

0度方向的灰度相关性逐渐增大(男性:r=0.670

P=0.000;女性:r=0.667

P=0.000)

将统计分析得到的年龄推断模型测试于20例志愿者

所得年龄推断误差均在3岁以内。结论:本研究通过对皮肤表面老化特征参数的定量分析

得出了依据皮肤纹理推断年龄的有效模型。由于本方法具有年龄检测范围大、操作简单、检测成本低的优点

可望用于医学年龄的快速推断。

Abstract

Objective:To explore a new method of forensic age detection by analyzing the texture features of human skin surface.Methods:Using computer image processing technique

the forearm skin images of 180 cases of indoor workers in the South West China were processed

and three texture feature parameters were calculated including the number of grids

the mean area of grids and the gray level co-occurrence matrix. The relationship between these parameters and age was analyzed using statistics methods. Results:The experiment data showed that the number of grids decreased with age（male:r=-0.745

P=0.000;female:r=-0.792

P=0.000）. The mean area of grids increased with age（male:r=0.712

P=0.000; female:r=0.809

P=0.000）. The gray correlation in the direction of 0degree increased with age（male:r=0.670

P=0.000;female:r=0.667

P=0.000）. When the proposed method was applied to 20 subjects

the range of error was less than 3 years. Conclusion:Through the quantitative analysis of the skin surface aging characteristic

automatic and effective age estimation are achieved. With the advantages of wide detection range

simple operation and low detection cost

this method has the potential application in clinical practice.

关键词

皮肤表面纹理图像分析技术年龄推断皮肤老化

Keywords

skin surface textureimage processing technologyage estimationskin aging

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