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A NovelAutomatic Tongue Image Segmentation Algorithm: Color Enhancement Method Based on L*a*b* Color Space

机译:一种新颖的舌片图像分割算法:基于L * A * B *颜色空间的颜色增强方法

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As the first step of tongue image analysis, tongue segmentation plays a significant role in this field. In this paper, we present a new method to segment the tongue using multiple color spaces. Based on the hue channel in HSV space, a threshold control function can be given, revealing the chromatic feature of image. Then we can extract our interested area according to the function, so that the color enhancement method can be applied in this region. In the end, we can obtain the complete outlines using the luminance features in L*a*b color space. Compared to existing tongue segmentation algorithms, our method demonstrates satisfying performance in robustness, efficiency and accuracy.
机译:作为舌映像分析的第一步,舌头分割在该领域发挥着重要作用。在本文中,我们介绍了一种使用多个颜色空间分割舌头的新方法。基于HSV空间中的色调通道,可以给出阈值控制功能,揭示图像的色彩特征。然后我们可以根据功能提取我们感兴趣的面条,以便在该区域中应用颜色增强方法。最后,我们可以使用L * A * B颜色空间中的亮度特征获得完整的轮廓。与现有的舌头分割算法相比,我们的方法表明了鲁棒性,效率和准确性的性能。

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