色クラスタ解析に基づく建造物領域の自動抽出

抄録

In this paper, we propose a new automatic building extraction method from scenery images. The proposed method generates initial input data to GrabCut by analyzing color clusters based on VBGMM under the assumption that the building appears at the center of the image. In order to confirm the effectiveness of the proposed method, we conducted a comparison experiment with the conventional method using 106 images from public dataset ZuBuD. As a result, the proposed method improved the extraction accuracy by more than 12% compared with the conventional method. On the other hand, the proposed method degraded the extraction accuracy by more than 5% compared with GrabCut using initial input data determined manually. In order to solve this problem, we consider that post-processing focusing on building boundaries is necessary.