Automatic Record of IGO Game by Image Processing

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  • 画像処理による囲碁棋譜の自動記録
  • ガゾウ ショリ ニ ヨル イゴ キフ ノ ジドウ キロク

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Although an IGO record is a valuable work, it takes a lot of human laborious work. In this paper, we propose an automatic record system by image processing. First, we control a camera shutter by judging the time of brightness change which is caused by the action of the player's hand, capture the n-th image in order. The contrast among white stone, black stone and board depend on the brightness, which are affected by shadows , etc. To cope with the situation, we use a subtraction image between the board and n-th image. The stones are not always put on the centers of the intersection points and are often drifted when they are touched with another stones or the hand. Light reflects on the surface. The brightness of the image often changes. Therefore, we estimate the intersection points of highlighted and distorted board. The stones recognition are based on template matching using RMS errors and correlations. The results are classified automatically by the application of K-means clustering algorithm. We show the proposed algorithm's effectiveness by experiments.

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