裂纹舌图像的核假彩色变换及其纹线提取

Kernel False-Colour Transformation and Line Extraction for Fissured Tongue Image

针对在中医舌诊研究中使用计算机提取舌裂纹比较困难的问题,提出一种新颖的舌裂纹提取算法.首先对彩色裂纹舌图像使用核假彩色变换使舌裂纹区域与其周围区域的颜色对比度明显增强;然后利用假彩色图像在RGB颜色空间的第二分量信息得到梯度图像;最后对梯度图像使用滞后阈值等方法得到舌裂纹二值图像.实验结果表明,该算法能有效地分离舌裂纹与环绕在其周围的舌质、舌苔背景,为计算机化舌裂纹研究提供了较为可靠的技术支持.

To tackle the difficulty of extracting tongue crack using computer technology in the researches on modernizing tongue diagnosis of traditional Chinese Medicine,this paper proposed a novel algorithm for the extraction of tongue cracks.First,the false-color image is enhanced for the color fissured tongue image using the kernel false-color transformation.Then,the gradients are computed with the second component of the false-color image in RGB color space.Finally,the gradient image is binarized by a thresholding technique,such as the hysteresis threshold.Experimental results show that the proposed method can effectively isolate the tongue cracks from the surrounding tongue proper and tongue coat,and accurately segment the tongue cracks.The proposed algorithm offers a credible means for the computerized researches of tongue crack.