摘要
为了尽可能多地获取舌下静脉的形态信息,采用近红外舌下静脉图像采集仪获取近红外舌下静脉图像,并提出对应的舌下静脉分割方法.根据所采集到图像的特点,首先使用分水岭法去除舌下静脉周围的舌质背景等干扰信息;然后使用动态灰度阈值法在已获得的有效舌下区域进行二值化,并结合近红外舌下静脉图像的灰度信息确定舌下静脉候选区域;最后根据舌下静脉区域的灰度一致性进行自适应的区域生长,获得舌下静脉轮廓.实验结果表明,该方法能有效地分离舌下静脉与环绕在其周围的舌质背景,并能准确地定位舌下静脉的完整边界.
In order to acquire more accurate shape information of sublingual vein, a near infrared sublingual vein image acquisition device is employed to capture the near infrared sublingual images, and a corresponding segmentation method of sublingual vein is proposed as well. According to the characteristics of the captured images, at first a watershed-like technique is used for background removal, followed by a dynamic thresholding to binarize the detected effective sublingual region, then candidate sublingual veins regions are extracted by combining image intensity features. Finally, the intensity consistency of sublingual vein region is used to assist the adaptive region growing, and the more accurate contour of sublingual veins is obtained. Experimental results show that the proposed segmentation method can efficiently isolate the sublingual veins from the surrounding tongue proper, and accurately segment the sublingual veins.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2008年第12期1569-1574,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(国际合作)(60620160097)
关键词
计算机化舌诊
近红外舌下图像
分水岭法
区域生长
computerized tongue diagnosis
near infrared sublingual images
watershed algorithm
region growing
