An Active Contour Model Based on Wavelet Transform
Caixia Liu · Journal of Changshu Institute of Technology · 2009
GVF snake model is used widely in computer vision and image segmentation.However,there are problems in convergence processing to boundaries of medical image because of noise.A new active contour model based on wavelet transform and GVF(Gradient vector flow) snake model is proposed in this paper.Wavelet transform vector is defined to replace the gradient vector in GVF snake model.And the image is pre-processed with multi-scale wavelet transform.The consecutive edge can be gained and the anti-noise ability is improved with the new model.Experiments indicate that the new algorithm can improve snake model's ability to segment complicated image.