An Image Segmentation method based on improved CV Mode
Xu Yang, Xiaowen Dong, Cheng Chong, Xiaofan Fu · 2021
Grey scale value inside and outside the contour curve approximates as a constant in CV model. For the target with unever gray scale, the global approximation method can't reflect the change of image gray scale and it is difficult to obtain a satisfactory segmentation results for this kind of image. In this paper the improved CV model is put forward and it overcomes some defects of the original, through the experiment in this paper, the improved algorithm is simpler than LBF algorithm in terms of computational complexity. Better segmentation results can be obtained by using LBF model and ILBF model, but the iterations of ILBF model are less than that of LBF model, and the time consuming of ILBF model is less than that of LBF model.