C-V Model about Image Segmentation Algorithm Research
LI Hao-guan · Journal of Guangdong University of Education · 2015
Active contour in image segmentation(active contour)or snake(snake)model can formulate the energy functional image segmentation problem as a minimization of a closed curve.In view of the existing problems in the C-V model,such as the existence of no obvious edge,the lack of a clear texture characteristics,the difficulty for GAC model to achieve segmentation issues,the energy functional model to derive global information of the image and the signed distance function are obtained through the evolution model of the existing various curve comparison analysis.This model integrates classical geometric curve model and the advantages of C-V model,and by introducing apenalty term,there is no need to repeat the update curve initialization,and the time step choice is increased.The model is better than the traditional C-V model in the convergence speed and accuracy.