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作 者:黄丹语 黄晓阳[2] HUANG Danyu;HUANG Xiaoyang(Department of Clinical Medicine,Zhangzhou Health Vocational College,Zhangzhou Fujian 363000,China;School of Informatics,Xiamen University,Xiamen Fujian 361005,China)
机构地区:[1]漳州卫生职业学院临床医学系,福建漳州363000 [2]厦门大学信息学院,福建厦门361005
出 处:《河北软件职业技术学院学报》2024年第1期20-23,共4页Journal of Hebei Software Institute
基 金:2021年福建省中青年教师教育科研项目“一种基于数据融合的舌象反光点检测算法的研究”(JAT210871);2021年漳州卫生职业学院院级科研项目“一种基于数据融合的舌象反光点检测算法的研究”(ZWYZ202108)。
摘 要:随着计算机图像处理技术的发展,数字化舌诊研究系统已能够较好地代替中医大夫进行望诊。但这类舌诊系统大多是建立在标准的采集环境之中,在密闭、光照稳定的环境下进行舌象采集,从而得到高质量的舌象图像。而在开放环境下,光照情况以及拍摄角度等较为复杂,采集到的舌象往往会有反光点存在,针对这一情况,提出了一种数据融合的反光点检测算法,在几个不同的色彩空间下,分别对舌象进行反光点检测,再对检测结果进行数据的融合,得到最终的舌象反光点检测图像。该算法能够较好地将舌象绝大部分的反光点检测出来,且具有自适应性,可为后续实现移动设备自然条件下自动识别处理舌象提供基础技术支撑。With the development of computer image processing technology,digital tongue diagnosis research system has been able to take the place of traditional Chinese medicine doctors in inspection.However,most of these tongue diagnosis systems are established in the standard collection environment,and the tongue image is collected in a closed and stable light environment,so as to obtain high-quality tongue image images.But in an open environment,the lighting situation and shooting angle are often more complex,and the collected tongue images often have the presence of negative points of light.In response to this situation,a data fusion algorithm for spot detection is proposed.In several different color spaces,the tongue image was detected by the reflection spot,and then the data of the detection results were fused to obtain the final tongue image.The algorithm can effectively detect most of the tongue image's reflection spotsand has self-adaptability,which provides basic technical support for the subsequent automatic recognition and processing of tongue images on mobile devices under natural conditions.
分 类 号:TP751.1[自动化与计算机技术—检测技术与自动化装置]
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