Identification of artifacts in scenery images using color and line information by RBF network - Segmentation by K-means algorithm and edge information

In this paper, we propose a new image segmentation method based on K-means algorithm and edge information, and identification of artifacts in scenery images using color and line information by Radial Basis Function (RBF) network is realized. In the proposed method, the original image is divided into some areas based on color information by the K-means algorithm and edge information, and whether or not artifacts are included for each divided area are judged using color and line information by the RBF network. We carried out a series of computer experiments and confirmed that the proposed method can identify the area including artifacts with considerable accuracy.