本文分析了舌下静脉血管轮廓提取的方法，通过对舌下静脉的颜色模型和颜色特

本文分析了舌下静脉血管轮廓提取的方法，通过对舌下静脉的颜色模型和颜色特征的分析，确定了舌下静脉特征提取的方法，在舌下静脉特征提取的基础上获取准确的静脉轮廓，因此，建立一种合适的舌下静脉提取算法是本文的重要任务，从图像处理和模式识别的角度研究了舌下静脉的提取方法，提出了基于HSI颜色空间和CIELUV颜色空间的像素区域生长法和基于CIE-xy坐标空间的K-均值聚类法的舌下静脉提取方法，并对各种方法进行了分析和比较，实验结果表明，该算法能有效地提取舌下静脉本文可以有效地提取出人类肉眼感观所识别的舌下静脉的轮廓。

本文分析了舌下静脉血管轮廓提取的方法，通过对舌下静脉的颜色模型和颜色特征的分析，确定了舌下静脉特征提取的方法，在舌下静脉特征提取的基础上获取准确的静脉轮廓，因此，建立一种合适的舌下静脉提取算法是本文的重要任务，从图像处理和模式识别的角度研究了舌下静脉的提取方法， 提出了基于HSI颜色空间和CIELUV颜色空间的像素区域生长法和基于CIE-xy坐标空间的K-均值聚类法的舌下静脉提取方法，并对各种方法进行了分析和比较，实验结果表明，该算法能有效地提取舌下静脉本文可以有效地提取出人类肉眼感观所识别的舌下静脉的轮廓。

This paper analyzes the method of extracting the contour of the sublingual vein. Through the analysis of the color model and the color characteristics of the sublingual vein, the method of extracting the characteristics of the sublingual vein is determined. Based on the extraction of the characteristics of the sublingual vein, the accurate contour of the vein is obtained. Therefore, it is an important task of this paper to establish an appropriate algorithm of extracting the sublingual vein, which is based on the image processing and pattern recognition This paper studies the extraction method of sublingual vein from the angle of view, proposes the pixel region growing method based on HSI color space and CIEluv color space and the K-means clustering method based on cie-xy coordinate space, and analyzes and compares various methods. The experimental results show that the algorithm can extract sublingual vein effectively. This paper can extract human visual sense effectively Observe the contour of the identified sublingual vein.<br>