皮肤反射式共聚焦显微成像自适应图像亮度调节

缪新; 张运海; 黄维

doi:10.3788/OPE.20192706.1270

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皮肤反射式共聚焦显微成像自适应图像亮度调节

生命科学仪器 | 更新时间：2020-08-13

- 皮肤反射式共聚焦显微成像自适应图像亮度调节
- Image brightness adaptive adjustment during skin imaging by reflectance confocal microscopy
- 光学精密工程 2019年27卷第6期页码：1270-1276
- 作者机构：
  
  1.中国科学技术大学，安徽合肥 230026
  2.中国科学院苏州生物医学工程技术研究所江苏省医用光学重点实验室，江苏苏州 215163
- 作者简介：
  
  [ "缪新 (1989-)，男，江苏无锡人，硕士，助理研究员，2012年、2015年于南京航空航天大学分别获得学士、硕士学位，主要从事激光共聚焦显微成像方面的研究。E-mail：miaox@sibet.ac.cn" ]
  张运海 (1975-)，男，湖北襄阳人，研究员，博士生导师，1998年、2006年于南京航空航天大学分别获得学士、博士学位，主要从事激光扫描共聚焦成像、超分辨显微光学方面的研究。E-mail：zhangyh@sibet.ac.cn ZHANG Yun-hai. E-mail:zhangyh@sibet.ac.cn
- 基金信息：
  
  国家重点研发计划资助项目(2017YFC0110303);江苏省青年基金资助项目(BK20160363);江苏省青年基金资助项目(BK20170390);国家自然科学基金资助项目(11804371);国家自然科学基金资助项目(31870112);苏州市民生科技项目(SS201643)
- DOI：10.3788/OPE.20192706.1270
  中图分类号： TH742.9
- 收稿日期：2019-01-21，
  
  录用日期：2019-3-10，
  
  纸质出版日期：2019-06-15
- 稿件说明：
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缪新, 张运海, 黄维. 皮肤反射式共聚焦显微成像自适应图像亮度调节[J]. 光学精密工程, 2019,27(6):1270-1276.

Xin MIAO, Yun-hai ZHANG, Wei HUANG. Image brightness adaptive adjustment during skin imaging by reflectance confocal microscopy[J]. Optics and precision engineering, 2019, 27(6): 1270-1276.
缪新, 张运海, 黄维. 皮肤反射式共聚焦显微成像自适应图像亮度调节[J]. 光学精密工程, 2019,27(6):1270-1276. DOI： 10.3788/OPE.20192706.1270.

Xin MIAO, Yun-hai ZHANG, Wei HUANG. Image brightness adaptive adjustment during skin imaging by reflectance confocal microscopy[J]. Optics and precision engineering, 2019, 27(6): 1270-1276. DOI： 10.3788/OPE.20192706.1270.

摘要

在皮肤反射式共聚焦显微成像过程中，为了实现图像亮度的快速调节，提出了一种图像亮度自适应调节方法。通过实验建立光强控制电压与图像亮度之间的关系模型，划分图像极端亮度区间与适度亮度区间，采用分段调节策略，将初始图像从极端亮度区间快速调整至适度亮度区间，在适度亮度区间内通过线性补偿调节至目标灰度均值。对不同深度、不同位置的皮肤组织进行实时成像，图像初始亮度存在着过亮、过暗和适中等各种情况，上述亮度自适应调节方法均能实现快速亮度调节，调节迭代次数为2~3，调节后图像灰度均值达到最优值70左右。实验结果表明，这种自适应图像亮度调节方法快速、有效，能够满足皮肤共聚焦成像检测的需要。

Abstract

For quick adjustment of image brightness during skin imaging with reflectance confocal microscopy

an adaptive brightness adjustment method was proposed. The association between laser power control voltage and image brightness was established by experiments. Images can have two types of brightness: extreme and moderate. Using segmental adjustment

brightness of the initial image could be quickly changed from extreme to moderate. Finally

the optimal brightness was obtained using linear compensation. Real-time imaging of skin tissues at different depths and locations can show if the initial image is too bright

too dark

or of moderate brightness. Subsequently

quick adjustment of the brightness can be achieved. The number of iterations is 2-3

and the optimal image brightness is approximately 70. The results show that this method is fast and can effectively meet the needs of skin imaging with reflectance confocal microscopy.

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references

刘创, 张运海, 黄维, 等.皮肤反射式共聚焦显微成像扫描畸变校正[J].红外与激光工程, 2018, 47(10): 154-159.

LIU CH, ZHANG Y H, HUANG W, et al.. Correction of reflectance confocal microscopy for skin imaging distortion due to scan[J]. Infrared and Laser Engineering, 2018, 47(10): 154-159.(in Chinese)

肖昀, 张运海, 王真, 等.入射激光对激光扫描共聚焦显微镜分辨率的影响[J].光学精密工程, 2014, 22(1): 31-38.

XIAO Y, ZHANG Y H, WANG ZH, et al..Effect of incident laser on resolution of LSCM[J]. Opt. Precision Eng., 2014, 22(1): 31-38. (in Chinese)

朱宜彬.反射式共聚焦激光扫描显微镜在皮肤科的应用研究[J].名医, 2018(9): 136.

ZHU Y B. Application of reflective confocal laser scanning microscope in dermatology[J]. Renowned Doctor, 2018(9): 136. (in Chinese)

郑亚杰, 沈雪, 崔勇.皮肤镜联合反射式共聚焦显微镜对色素痣良恶性、脂溢性角化病的诊断价值[J].中日友好医院学报, 2018, 32(2): 79-82, 64.

ZHENG Y J, SHEN X, CUI Y. Diagnostic value of reflectance confocal microscopy combined with dermoscopy on benign and malignant melanocytic nevus and seborrheic keratosis[J]. Journal of China-Japan Friendship Hospital, 2018, 32(2): 79-82, 64.(in Chinese)

昌剑, 张运海, 张欣, 等.激光扫描共聚焦技术在近红外荧光成像中的应用[J].激光与光电子学进展, 2014, 51(11): 190-195.

CHANG J, ZHANG Y H, ZHANG X, et al.. Application of laser scanning confocal technology in near infrared fluorescence imaging[J]. Laser & Optoelectronics Progress, 2014, 51(11): 190-195.(in Chinese)

刘勇, 陈家璧.用于生物组织层析成像的共聚焦内窥镜[J].光学精密工程, 2008, 16(4): 579-584.

LIU Y, CHEN J B. A confocal endoscope for tomographic imaging of tissue[J]. Opt. Precision Eng., 2008, 16(4): 579-584.(in Chinese)

王永鑫, 刁鸣, 韩闯.基于迭代直方图均衡化的常规光源下水下成像增强算法[J].光子学报, 2018, 47(11): 97-107.

WANG Y X, DIAO M, HAN CH. Underwater image enhancement algorithm based on iterative histogram equalitization with conventional light source[J]. Acta Photonica Sinica, 2018, 47(11): 97-107.(in Chinese)

ZHUANG L Y, GUAN Y P. Adaptive image enhancement using entropy-based subhistogram equalization[J]. Computational Intelligence and Neuroscience, 2018, 2018: 1-13.

MAGUDEESWARAN V, RAVICHANDRAN C G, THIRUMURUGAN P. Brightness preserving bi-level fuzzy histogram equalization for MRI brain image contrast enhancement[J]. International Journal of Imaging Systems and Technology, 2017, 27(2): 153-161.

王日明, 徐杜, 董晓庆, 等.基于CCD图像反馈的光强调节技术的FPGA实现[J].光学与光电技术, 2007, 5(4): 36-39.

WANG R M, XU D, DONG X Q, et al.. Implementation of optical emphasis section technology based on CCD image feedback on FPGA[J]. Optics & Optoelectronic Technology, 2007, 5(4): 36-39.(in Chinese)

宋佳, 孙长库, 王鹏.锡膏激光扫描三维测量系统光强自适应调节技术[J].传感技术学报, 2012, 25(8): 1166-1171.

SONG J, SUN CH K, WANG P. Techniques of light intensity adaptive adjusting for the 3D measurement system of the solder paste[J]. Chinese Journal of Sensors and Actuators, 2012, 25(8): 1166-1171.(in Chinese)

王想, 郭延文, 杜振龙, 等.图像和视频亮度的自动调整[J].电子学报, 2009, 37(S1): 79-86.

WANG X, GUO Y W, DU ZH L, et al.. Automatic brightness adjustment for image and video[J]. Acta Electronica Sinica, 2009, 37(S1): 79-86.(in Chinese)

行长印.基于图像信息的自动视频调光调焦[D].长春: 长春理工大学, 2009. http://cdmd.cnki.com.cn/Article/CDMD-10186-2009198597.htm

XING CH Y. Automatic Video Dimming and Focusing Based on Image Information [D]. Changchun: Changchun University of Science and Technology, 2009.(in Chinese)

李玉, 杨蕴, 王岱良, 等.自适应量子遗传算法的遥感图像自动增强[J].光学精密工程, 2018, 26(11): 2838-2853.

LI Y, YANG Y, WANG D L, et al.. Automatic enhancement of remote sensing images based on adaptive quantum genetic algorithm[J]. Opt. Precision Eng., 2018, 26(11): 2838-2853.(in Chinese)

刘珍珍, 刘云清, 颜飞.指纹图像干湿度评价及亮度自动调节方法研究[J].长春理工大学学报:自然科学版, 2018, 41(5): 83-87.

LIU ZH ZH, LIU Y Q, YAN F.Research on fingerprint image dryness humidity evaluation and brightness automatic adjustment[J]. Journal of Changchun University of Science and Technology : Natural Science Edition, 2018, 41(5): 83-87.(in Chinese)

林志贤, 林珊玲, 单升起, 等.基于亮度均值的动态直方图均衡算法[J].电视技术, 2018, 42(1): 13-18.

LIN ZH X, LIN SH L, SHAN SH Q, et al..Mean-brightness-based dynamic histogram equalization algorithm[J]. Digital Video, 2018, 42(1): 13-18.(in Chinese)

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