Color C-V Method and Its Application in Segmentation of Halftone Image

【Abstract】A new color C-V method is proposed, which makes an extension of the scalar C-V method to the vector-valued case while giving some amelioration to C-V method. This paper proposes a color C-V method which makes sufficient use of color information in images so that it segments color images efficiently. It makes some amelioration to the original C-V method in order to enhance the globality, and considering the characteristics of human vision, chooses the appropriate color space. This paper applies the method to the segmentation of halftone images. The result of experiments show that color C-V method is far better than traditional methods when it transacts halftone images within fuzzy edges and severe pollution of noise. 【Key words】Image segmentation; Mumford-Shah model; Color C-V; Halftone dot