Image segmentation is a crucial task in image processing. A method called Level Set, specifically the C-V model, has been rapidly advancing in this field. The C-V model was tested in this study and proved effective in segmenting images, as shown in experiments with synthetic and real images. This model outperformed other segmentation methods, showcasing its potential for accurate image segmentation.