数码智能皮肤分析系统
|
摘要
本文对人脸皮肤表面参数进行了分析探讨,并建立了以数据管理和分析为一体的研究平台:数码智能皮肤分析系统,该系统分为数据采集、数据分析、数据管理和用户界面三大主要的模块,通过对人脸皮肤图片分析,得出肤色、斑点、水分油份、纹理皱纹和毛孔几大指标,对皮肤表面状况进行了综合的评价,并完成了该系统第一阶段的迭代开发。
本系统采用带USB接口的采集仪器进行图像采集并将其组件化,建立了基于ADO访问技术的数据管理功能,利用封装于DLL的识别算法对皮肤图像进行快速综合分析,同时采用友好、图形化的分析界面,使使用者能够对皮肤当前状态有直观的全面的认识,为进一步提出客观、重复性好的皮肤分析打下坚实的基础。
文章也对系统中需要解决的图像处理问题做了初步的研究。在肤色检测中将理论和实际研究对象相结合改进了分类的阈值,在皮肤图像纹理的提取中,对传统的方法进行了改进和优化,在水分油份检测中,利用了统计回归方法建立相关模型取得了良好的效果。
This paper analysis and discuss skin surface parameters, then establishes a data management and analysis platform for the integration of research: digital intelligent skin analysis system, this system is divided into data acquisition, data analysis, data management and user interface three main modules, through analysis images of facial skin, come to color, spot, oil, moisture, wrinkles, texture and pore several major indicators of the state of the skin surface comprehensive evaluation, and completed the first phase of the system Iterative development.
This system uses a USB interface with the collection apparatus for image acquisition and its components, the establishment of technology-based ADO visit to the data management function, the DLL using packaging in the skin image recognition algorithm for rapid analysis, using friendly, graphical analysis interface that let users have intuitive comprehensive understanding for the current state of the skin and for the further objective, reproducible analysis of skin and lay a solid foundation.
The article also done a preliminary study to those problems that need to be addressed in the system of image processing. In color detection, with combination of theoretical and practical object ,we improved the classification threshold, In detection of the face image texture, we improved and optimized the traditional methods, and used statistical regression Methods correlation model has produced good results in the oil and moisture detection.
本系统采用带USB接口的采集仪器进行图像采集并将其组件化,建立了基于ADO访问技术的数据管理功能,利用封装于DLL的识别算法对皮肤图像进行快速综合分析,同时采用友好、图形化的分析界面,使使用者能够对皮肤当前状态有直观的全面的认识,为进一步提出客观、重复性好的皮肤分析打下坚实的基础。
文章也对系统中需要解决的图像处理问题做了初步的研究。在肤色检测中将理论和实际研究对象相结合改进了分类的阈值,在皮肤图像纹理的提取中,对传统的方法进行了改进和优化,在水分油份检测中,利用了统计回归方法建立相关模型取得了良好的效果。
This paper analysis and discuss skin surface parameters, then establishes a data management and analysis platform for the integration of research: digital intelligent skin analysis system, this system is divided into data acquisition, data analysis, data management and user interface three main modules, through analysis images of facial skin, come to color, spot, oil, moisture, wrinkles, texture and pore several major indicators of the state of the skin surface comprehensive evaluation, and completed the first phase of the system Iterative development.
This system uses a USB interface with the collection apparatus for image acquisition and its components, the establishment of technology-based ADO visit to the data management function, the DLL using packaging in the skin image recognition algorithm for rapid analysis, using friendly, graphical analysis interface that let users have intuitive comprehensive understanding for the current state of the skin and for the further objective, reproducible analysis of skin and lay a solid foundation.
The article also done a preliminary study to those problems that need to be addressed in the system of image processing. In color detection, with combination of theoretical and practical object ,we improved the classification threshold, In detection of the face image texture, we improved and optimized the traditional methods, and used statistical regression Methods correlation model has produced good results in the oil and moisture detection.
引文
[1]黄岑汉.面部色诊法中的全息思想初探[J].广西中医药.1993.(3):29-31
[2]赵荣椿等.数字图像处理导论.西北工业大学出版社,2000.8.
[3]王永宏,刘娟,杨志波.数字图像分析技术检测皮肤颜色进展.中华医学丛刊,2004年第4卷第8期.
[4]张大鹏.模式识别与图像处理并行计算机系统设计.哈尔滨工业大学出版社,1998.
[5]谷春静,蒋大林.图像处理中皮肤纹理评价方法的研究仪.器仪表学报,2005.8.
[6]曹虹.皮肤参数分析系统研究与实现.北京工业大学硕士论文,2003.5.
[7]李艳,李利,等.皮肤颜色和部位、年龄及性别的相关性研究.中国美容医学,2005.10
[8]曾常春,王先菊,刘颂豪.《内经》色诊概念及光子学在色诊中的应用.中华现代中西医杂志,2004.5.
[9]David J.Kruglinskio.Visual C++技术内幕.清华大学出版社,1996.
[10]王孝喜,刘秋兰.Windows应用程序编程技术.南开大学出版社,1998.
[11]曹茂永,孙农亮,郁道银.离焦模糊图像清晰度评价函数的研究.仪器仪表学报(增刊),2001,22(3)(S):259-260,268.
[12]朱孔凤,姜威,王端芳,等.一种新的图像清晰度评价函数。红外与激光工程,2005,34(4):464-468.
[13]郭另华.对标准色度学系统颜色空间的理解.陕西科技大学职业技术学校,西安.
[14]林仲贤,孙秀如.中国人面部自然肤色色域范围及典型肤色色样的研制.心理学报,1997.10
[15]王鸿谟,张栋.中医色诊学的定位定量研究[J].中国医药学报.1998.(4):14-18.
[16]朱秀昌,刘峰,胡栋.数字图像处理与图像通信.北京邮电大学出版社,2002.
[17]陈桂明,张明照,戚红雨.应用MATLAB语言处理数字信号与数字图像.科学出版社,2001.
[18]清源计算机工作室.MATLAB高级应用-图形及影像处理.机械丁业出版社,2000.
[19]缪绍刚.数字图像处理-活用MATLAB.西南交通大学出版社.2001.
[20]郭德军,宋蛰存.基于灰度共生矩阵的纹理图像分类研究.林业机械与木工设备.2005.33(7):21-23.
[21]陈宇,陈福明.基于颜色和纹理的皮肤检测方法.计算机辅助工程,2006.6.
[22]郭德军.人脸皮肤纹理测量及识别方法研究.北京工业大学硕士论文.2005.5.
[23]夏寅辉.人脸皮肤纹理测量及识别方法研究.燕山大学工学硕士论文.2002.
[24]陈宁,陈福民.基于颜色和纹理的皮肤检测方法.同济大学计算机科学与工程系,2000.9.
[25]李伟,李明山,郭光照.皮肤颜色的定量测量.中华整形外科杂志.2002.3
[26]L.Xu,M.Jackowski A.Goshtasby.Segmentation of Skin Cancer Images.Image and Vision Computing,1999.
[27]JAMES M.KASSON,WIL PLOUFFE.An analysis of selected computer interchange color spaces.IBM Corporation,Almaden Research Cente.
[28]Philippe Schmid-Saugeon.Towards a computer-aided diagnosis system for pigmented skin lesions.Computerized Medical Imaging and Graphics 27(2003)
[29]毛培坤主编.化妆品功能性评价和分析方法.中国轻工业出版社.1998.
[30]弓娟琴.计算机数字图像分析在皮肤科的应用.临床皮肤科杂志.1997.
[31]魏会平,刘继云,潘勇娜.456名大学生皮肤纹理分析.河北北方学院学报.2004.10,第21卷第5期.
[32]魏少敏,张渭岐,胡庆沈,江兰英,崇晓英.皮肤纹理和皱纹深度的图像分析测定研究.日用化学工业.2000.4,分析与检测第2期.
[33]汪黎明,陈健敏,王锐等.织物折皱纹理灰度共生矩阵分析.青岛大学学报.2003.
[34]孟如松,蔡瑞康,赵广,马慧军等.皮肤图像分析系统对祛斑类化妆品功效评价的研究.CT 理论与应用研究,2002.2(20-25).第11卷第2期.
[35]Elli Angelopoulou.understanding the color of human skin.Computer Science Department,Stevens Institute of Technology GRASP Laboratory,University of Pennsylvania.
[36]Edwards,E.A.and Duntley,S.Q.The Pigments and Color of Living Human Skin.American Journal of Anatomy,Vol.65,No.1,pp.1-33,July 1939.
[37]Inokuchi,S,Nakai,n.and Manabe,Y.Simulation and Analysis of Spectral Distributions of Human Skin.Proceedings InternationalConference on Pattern Recognition 1998,pp.1065-1067,1998.
[38]URE:< http://www.easyrgb.com/>
[2]赵荣椿等.数字图像处理导论.西北工业大学出版社,2000.8.
[3]王永宏,刘娟,杨志波.数字图像分析技术检测皮肤颜色进展.中华医学丛刊,2004年第4卷第8期.
[4]张大鹏.模式识别与图像处理并行计算机系统设计.哈尔滨工业大学出版社,1998.
[5]谷春静,蒋大林.图像处理中皮肤纹理评价方法的研究仪.器仪表学报,2005.8.
[6]曹虹.皮肤参数分析系统研究与实现.北京工业大学硕士论文,2003.5.
[7]李艳,李利,等.皮肤颜色和部位、年龄及性别的相关性研究.中国美容医学,2005.10
[8]曾常春,王先菊,刘颂豪.《内经》色诊概念及光子学在色诊中的应用.中华现代中西医杂志,2004.5.
[9]David J.Kruglinskio.Visual C++技术内幕.清华大学出版社,1996.
[10]王孝喜,刘秋兰.Windows应用程序编程技术.南开大学出版社,1998.
[11]曹茂永,孙农亮,郁道银.离焦模糊图像清晰度评价函数的研究.仪器仪表学报(增刊),2001,22(3)(S):259-260,268.
[12]朱孔凤,姜威,王端芳,等.一种新的图像清晰度评价函数。红外与激光工程,2005,34(4):464-468.
[13]郭另华.对标准色度学系统颜色空间的理解.陕西科技大学职业技术学校,西安.
[14]林仲贤,孙秀如.中国人面部自然肤色色域范围及典型肤色色样的研制.心理学报,1997.10
[15]王鸿谟,张栋.中医色诊学的定位定量研究[J].中国医药学报.1998.(4):14-18.
[16]朱秀昌,刘峰,胡栋.数字图像处理与图像通信.北京邮电大学出版社,2002.
[17]陈桂明,张明照,戚红雨.应用MATLAB语言处理数字信号与数字图像.科学出版社,2001.
[18]清源计算机工作室.MATLAB高级应用-图形及影像处理.机械丁业出版社,2000.
[19]缪绍刚.数字图像处理-活用MATLAB.西南交通大学出版社.2001.
[20]郭德军,宋蛰存.基于灰度共生矩阵的纹理图像分类研究.林业机械与木工设备.2005.33(7):21-23.
[21]陈宇,陈福明.基于颜色和纹理的皮肤检测方法.计算机辅助工程,2006.6.
[22]郭德军.人脸皮肤纹理测量及识别方法研究.北京工业大学硕士论文.2005.5.
[23]夏寅辉.人脸皮肤纹理测量及识别方法研究.燕山大学工学硕士论文.2002.
[24]陈宁,陈福民.基于颜色和纹理的皮肤检测方法.同济大学计算机科学与工程系,2000.9.
[25]李伟,李明山,郭光照.皮肤颜色的定量测量.中华整形外科杂志.2002.3
[26]L.Xu,M.Jackowski A.Goshtasby.Segmentation of Skin Cancer Images.Image and Vision Computing,1999.
[27]JAMES M.KASSON,WIL PLOUFFE.An analysis of selected computer interchange color spaces.IBM Corporation,Almaden Research Cente.
[28]Philippe Schmid-Saugeon.Towards a computer-aided diagnosis system for pigmented skin lesions.Computerized Medical Imaging and Graphics 27(2003)
[29]毛培坤主编.化妆品功能性评价和分析方法.中国轻工业出版社.1998.
[30]弓娟琴.计算机数字图像分析在皮肤科的应用.临床皮肤科杂志.1997.
[31]魏会平,刘继云,潘勇娜.456名大学生皮肤纹理分析.河北北方学院学报.2004.10,第21卷第5期.
[32]魏少敏,张渭岐,胡庆沈,江兰英,崇晓英.皮肤纹理和皱纹深度的图像分析测定研究.日用化学工业.2000.4,分析与检测第2期.
[33]汪黎明,陈健敏,王锐等.织物折皱纹理灰度共生矩阵分析.青岛大学学报.2003.
[34]孟如松,蔡瑞康,赵广,马慧军等.皮肤图像分析系统对祛斑类化妆品功效评价的研究.CT 理论与应用研究,2002.2(20-25).第11卷第2期.
[35]Elli Angelopoulou.understanding the color of human skin.Computer Science Department,Stevens Institute of Technology GRASP Laboratory,University of Pennsylvania.
[36]Edwards,E.A.and Duntley,S.Q.The Pigments and Color of Living Human Skin.American Journal of Anatomy,Vol.65,No.1,pp.1-33,July 1939.
[37]Inokuchi,S,Nakai,n.and Manabe,Y.Simulation and Analysis of Spectral Distributions of Human Skin.Proceedings InternationalConference on Pattern Recognition 1998,pp.1065-1067,1998.
[38]URE:< http://www.easyrgb.com/>