摘要
为研究在噪声环境下的纹理图像的分割,提出了一种基于相位场演化的纹理图像分割算法。首先在相位场模型中加入了形状统计的能量项,以此指导和约束边缘界面轮廓的演化过程;然后通过对改进相位场模型的梯度流方程的求解,得到了算法的数值解。最后将本研究算法用于纹理图像的分割。实验结果验证了该算法的有效性。
For the study of texture image segmentation under the noisy environments, a novel phase field evolution segmentation algorithm for texture images was proposed. Statistical shape energy was firstly added to phase field model, and could be used to guide and limit the edge interface curve to the target. Then, a numerical solving of the modified model was implemented by its gradient descent flow. Finally, the proposed algorithm had been evaluated on real texture images. The results show the desirable segmentation performance.
出处
《机电工程》
CAS
2009年第11期62-64,共3页
Journal of Mechanical & Electrical Engineering
基金
浙江省自然科学基金资助项目(Y1080343)
浙江商业职业技术学院重点科研项目(SZYZD200901)
关键词
相位场
图像分割
形状特征
phase field： image segmentation
shape feature
