A Feature-Aware Method for Dot Painting on Images

Dot painting is a technique of painting which uses small dots of color to form an image.Dot painting is a popular art style,and the dot painting method proposed in this paper is inspired by dot painting artworks created by artists.In our method,we segment an input image and extract the outline of the segmented image firstly and then get the feature outline of the original image.With this two kinds of outline,we generate an orientation field on the image,which ensures that there exists a direction at the location of each pixel to guide the dot placement.Next we design a density function to reflect how the dot size changes as the gradient of the image changes.At last,we put circles in the image region based on the orientation field and the density function mentioned above,and the algorithm ends when the image domain is filled with dots.Besides,we fill holes left to make the results look better.Experimental results show that our circle dot painting method can generate proper results reflecting the features and colors of the input image.The generated dots adhere to the features of the input image and the colors of the dots are very close to the input image colors.