A FFT-Snake Model Image Segmentation Method Based on the Genetic Algorithm
Tao Wang · Computer Engineering and Science · 2007
This paper presents a new FFT Snake model by improving the energy of the Snake Model,and solves the problem of Snake Model which has a bad anti-noise ability and tends to overflow from the weak edges when applied to contour tracking.Then it considers the solution of the FFT Snake Model as a searching space and avoids local minima by making use of the global optimal ability of the genetic algorithm,and obtains more precise segmentation.The experimental results indicate that the effect of the segmentation is ideal.