主动轮廓线舌体轮廓自动提取

主动轮廓线模型在分割图像时可以定位目标物体的边界,但是对初始点敏感和无法凹陷收敛等困难限制了该模型的推广.对梯度向量流模型研究后发现:该模型计算外部作用力场将图像的边界信息延展至离边界较远的图像区域,经过充分的迭代计算之后,边界信息可以覆盖大部分图像区域,这样就能解决模型固有的困难.舌体分割实验表明可以有效地解决该问题.

Automatic detection of contour tongue image based on active contour model

Active contour model can locate true boundaries when segmenting an image.Problems associated with initialization and poor convergences to boundary concavities,however,have limited their utilization.Gradient vector flow have some advantages that external force field can enlarge the influence of the image boundary.Boundary information is able to cover most of the image region after enough iterate calculation,so the above problems can be solved.The tongue image experiment shows the way is effective.