| 融合多颜色分量的舌图像阈值分割算法研究 |
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| 引用本文： | 余兆钗,张祖昌,李佐勇,刘维娜.融合多颜色分量的舌图像阈值分割算法研究[J].计算机应用与软件,2019,36(5):199-203,248. |
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| 作者姓名： | 余兆钗 张祖昌 李佐勇 刘维娜 |
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| 作者单位： | 闽江学院计算机与控制工程学院 福建福州350121;福建省信息处理与智能控制重点实验室(闽江学院) 福建福州350121;福建省高校人文社科研究基地互联网创新研究中心(闽江学院) 福建福州350121;闽江学院计算机与控制工程学院 福建福州350121;福建省信息处理与智能控制重点实验室(闽江学院) 福建福州350121;福建信息职业技术学院计算机工程系 福建福州350003 |
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| 基金项目： | 国家自然科学基金;福建省科技厅引导性项目;福建省高校青年自然基金重点项目;福州市科技计划;福州市科技计划;福建省中青年教师教育科研项目;福建省高校人文社科研究基地互联网创新研究中心(闽江学院)基金项目 |
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| 摘 要： | 针对中医自动化舌诊中的舌图像分割问题,提出一种融合多颜色分量的舌图像阈值分割算法。对RGB颜色空间中的蓝色和红色分量执行阈值分割,确定舌图像中的人脸区域;对HSI颜色空间中的色调分量执行变换,在变换后的色调分量上执行阈值分割,以获得包含真实舌体与上嘴唇的初始目标区域;对初始目标区域对应的红色通道执行阈值分割,得到舌根和嘴唇之间的间隙区域;利用间隙区域剔除掉初始目标区域中的上嘴唇,获得最终舌体分割结果。仿真实验表明:该算法较大程度地改善了舌图像分割的精度。
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| 关 键 词： | 舌像分割 阈值分割 舌诊 形态学运算 |
THRESHOLD SEGMENTATION ALGORITHM OF TONGUE IMAGE BASED ON MULTI-COLOR COMPONENTS |
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| Yu Zhaochai,Zhang Zuchang,Li Zuoyong,Liu Weina.THRESHOLD SEGMENTATION ALGORITHM OF TONGUE IMAGE BASED ON MULTI-COLOR COMPONENTS[J].Computer Applications and Software,2019,36(5):199-203,248. |
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| Authors: | Yu Zhaochai Zhang Zuchang Li Zuoyong Liu Weina |
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| Affiliation: | (College of Computer and Control Engineering,Minjiang University,Fuzhou 350121,Fujian,China;Fujian Provincial Key Laboratory of Information Processing and Intelligent Control( Minjiang University) ,Fuzhou 350121,Fujian,China;The Fujian College's Research Base of Humanities and Social Science for Internet Innovation Research Center( Minjiang University) ,Fuzhou 350121,Fujian,China;Department of Computer Engineering,Fujian Polytechnic of Information Technology,Fuzhou 350003,Fujian,China) |
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| Abstract: | To solve the problem of tongue image segmentation in TCM automatic tongue diagnosis,we proposed a threshold segmentation algorithm of tongue image based on multi-color components.Threshold segmentation of blue and red components in RGB color space was performed to determine the face area in tongue image.The hue component in HSI color space was transformed,and the threshold segmentation was performed on the transformed hue component to obtain the initial target area including the real tongue body and upper lip.Threshold segmentation was performed on the red channel corresponding to the initial target area to obtain the gap between the tongue root and the lip.The upper lip in the initial target area was removed by using the gap area,and the final result of tongue segmentation was obtained.The simulation results show that the proposed algorithm greatly improves the accuracy of tongue image segmentation. |
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| Keywords: | Tongue image segmentation Threshold segmentation Tongue diagnosis Morphological operation |
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