Application of clustering and improved C-V evolution equation in medical image segmentation
结合聚类和改进的C-V演化方程在医学图像分割中的应用

A class of improved C-V evolution equation based on classical C-V model was proposed in this paper. It integrated with k-means clustering to segment pathological tissue of Brain CT and MRI, and satisfactory results were obtained. Specially, experimental result of a synthetic image shows that the proposed method is more accurate and robust than some traditional evolution equations.