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Automatic segmentation in tongue image by mouth location and active appearance model

机译:通过嘴巴位置和活动外观模型自动分割舌头图像

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We demonstrate a novel method to segment the tongue image automatically with the mouth location method and active appearance model (AAM). With the help of a particular feature of the mouth, we could locate the dark hole's position easily and quickly. For the close relationship between the mouth and tongue, we would predict the approximate area of the tongue. Then we apply the AAM to segment the tongue from the image completely, which uses texture and shape of an object. During the AAM search, we constrain the initial displacement and size in the approximate area. For those images that failed to locate the mouth, we use a multi-initial displacement method during the AAM search to optimize the result. The experiment shows that our method is accurate and effective.
机译:我们演示了一种新颖的方法,可通过嘴部定位方法和主动外观模型(AAM)自动分割舌头图像。借助嘴的特定功能,我们可以轻松快速地找到黑洞的位置。对于口与舌之间的紧密关系,我们将预测舌的大致面积。然后,我们应用AAM从图像中完全分割出舌头,从而使用对象的纹理和形状。在AAM搜索过程中,我们将初始位移和大小限制在近似区域内。对于无法定位嘴巴的那些图像,我们在AAM搜索过程中使用多重初始位移方法来优化结果。实验表明,该方法准确有效。

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