基于动态轮廓模型的羽毛分割改进算法

从羽毛图像中分割毛杆适合采用动态轮廓模型，而原始原模型易受局部强边缘干扰产生偏差，且计算规模偏大。根据毛杆的特性，提出用毛杆中心线和毛杆宽度来代替毛杆轮廓，把模型中二维轮廓曲线变化成两个相互独立的一维函数，并据此修改能量方程。改进算法利用对称性避免强边缘干扰，减少了计算规模，能实现全自动分割。实验表明该算法具有较强的抗噪性，使分割毛杆效果良好，能满足工业需要。

Improved algorithm of feather image segmentation based on active contour model

Using active contour model to get the bone of feathers is affected by other strong edge, and the computation is too much. According to the characteristics of feathers, a method of describing the object contour using the centerline and width was proposed. Two-dimensional contour described in the model was converted into two independent one-dimensional functions, and according to it, the energy function of the model was modified. The improved algorithm made use of symmetry to avoid the interference of strong edges, reduced the computation scale, and it could achieve fully automatic segmentation. The experimental results show that the improved algorithm is robust to noise; it realizes good feather image segmentation and meets industry needs.