北京中医药大学学报
北京中醫藥大學學報
북경중의약대학학보
JOURNAL OF BEIJING UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
2009年
12期
819-821,后插1
,共4页
郭宙%杨学智%司银楚%朱庆文%牛欣%沙洪
郭宙%楊學智%司銀楚%硃慶文%牛訢%沙洪
곽주%양학지%사은초%주경문%우흔%사홍
舌诊%色彩空间%舌质舌苔分割%K-均值聚类
舌診%色綵空間%舌質舌苔分割%K-均值聚類
설진%색채공간%설질설태분할%K-균치취류
tongue diagnosis%color space%segmentation of tongue body and fur%K-means clustering
目的 观察常用色彩空间哪个通道(或分量)善于反映舌质舌苔的区别并有助于舌质舌苔的分割.方法 以典型舌图(淡红舌薄白苔、腻苔、黄苔等)和色温偏低的舌图为研究对象,在红、绿、蓝三色(RGB),国际照明委员会1976 L~*a~*b~*标准(CIELAB)和色调、饱和度、亮度(HSI)色彩空间下选择舌图上每个像素的特定色彩分量(a~*分量、L~*分量、H分量、R分量)作为聚类对象.使用K-均值聚类聚成2个集合,按照生成的2个集合的特征完成分割.结果 显示CIELAB色彩空间a~*分量对舌质舌苔分割的效果和抗干扰能力最好,不受光照角度、色温偏差、舌苔舌质类型等因素的影响.L~*分量、R分量的聚类结果受光照不均匀的影响明显,H分量的聚类结果多呈分割不完全状态.结论 基于K-均值聚类的以CIELAB色彩空间a*分量为指标对舌质舌苔进行分割的效果较稳定,在舌诊中有一定的实用价值.
目的 觀察常用色綵空間哪箇通道(或分量)善于反映舌質舌苔的區彆併有助于舌質舌苔的分割.方法 以典型舌圖(淡紅舌薄白苔、膩苔、黃苔等)和色溫偏低的舌圖為研究對象,在紅、綠、藍三色(RGB),國際照明委員會1976 L~*a~*b~*標準(CIELAB)和色調、飽和度、亮度(HSI)色綵空間下選擇舌圖上每箇像素的特定色綵分量(a~*分量、L~*分量、H分量、R分量)作為聚類對象.使用K-均值聚類聚成2箇集閤,按照生成的2箇集閤的特徵完成分割.結果 顯示CIELAB色綵空間a~*分量對舌質舌苔分割的效果和抗榦擾能力最好,不受光照角度、色溫偏差、舌苔舌質類型等因素的影響.L~*分量、R分量的聚類結果受光照不均勻的影響明顯,H分量的聚類結果多呈分割不完全狀態.結論 基于K-均值聚類的以CIELAB色綵空間a*分量為指標對舌質舌苔進行分割的效果較穩定,在舌診中有一定的實用價值.
목적 관찰상용색채공간나개통도(혹분량)선우반영설질설태적구별병유조우설질설태적분할.방법 이전형설도(담홍설박백태、니태、황태등)화색온편저적설도위연구대상,재홍、록、람삼색(RGB),국제조명위원회1976 L~*a~*b~*표준(CIELAB)화색조、포화도、량도(HSI)색채공간하선택설도상매개상소적특정색채분량(a~*분량、L~*분량、H분량、R분량)작위취류대상.사용K-균치취류취성2개집합,안조생성적2개집합적특정완성분할.결과 현시CIELAB색채공간a~*분량대설질설태분할적효과화항간우능력최호,불수광조각도、색온편차、설태설질류형등인소적영향.L~*분량、R분량적취류결과수광조불균균적영향명현,H분량적취류결과다정분할불완전상태.결론 기우K-균치취류적이CIELAB색채공간a*분량위지표대설질설태진행분할적효과교은정,재설진중유일정적실용개치.
OMective To observe which pathways(or components)of common color spaces are good for discriminating and segmenting tongue body and fur.Methods The typical tongue image(pink tongue with thin-white fur.greasy fur and yellow fur)and lower color temperature tongue image were taken as study objects,and special color component of every pixel of tongue imagines(value of a~*,L~*,H and R)in the color spaces of red,green and blue(RGB),L~* a~* b~* criterion of International Commission on Illumination in 1976(CIELAB),and hue,saturation and intensity(HSI)were selected as clustering objects.K-means clustering was applied to generate two clusters and complete the segmentation according to the characteristics of them.Results The Component of a~* value of CIELAB color space was the best in the aegment effect and anti-interference capability,which was not influenced by illumination angle,bias of color temperature and types of tongue body and fur.The clustering resuhs of L*value and R value were influenced by uneven illumination significantly.The clustering result of H value showed a state of incomplete segmentation.Condusion The segmentation of tongue body and fur had a stable result taking a~* value in CIELAB color space based K-means clustering as index and showed practical values in tongue diagnosis.
