Extraction of Golden Area in Image Based on Region Growing

The paper proposed an algorithm to extract the con-tone golden region in an image as a printing plate of metallic ink. First, the image is converted into HSV color model. H-components are selected as the original for image segmentation. Second, background interference is a problem for H-component of HSV model. Region growing method is not interfered by it. We suggest to segment H-component by region growing method. Finally, H-components of HSV model and RGB-mixed component of RGB model are combined to get a golden area image. The experimental results show that it is more suitable to determine a threshold value by Otsu algorithm than setting threshold value manually. Multipoint region growing image is more complete than single-point region growing image. Therefore we suggest using the multipoint region growing to extract the golden area of image. It brings good result, which verifies the feasibility of our suggested method.