The Hausdorff distance is commonly used as a similarity measure between two-dimensional binary images. Since the document images may be contaminated by a variety of noise sources during transmission, scanning or conversion to digital form, the measure should be robust to the noise. Original Hausdorff distance has been known to be sensitive to outliers. Transforming the given image to grayscale image is one of methods to deal with the noises. In this paper, we propose a Hausdorff distance applied to grayscale images. The proposed method is tested with synthetic images with various levels of noises and compared with other methods to show its robustness.

1. 서 론
 2. Hausdorff 거리의 개요
  2.1 Hausdorff 거리
  2.2 Hausdorff 거리의 변형
 3. 제시 방법론 및 실험 결과
  3.1 제시 방법론
  3.2 실험 결과
 4. 결 론
 Acknowledgement
 References

• 김경택(한남대학교 산업경영공학과) | Kyeongtaek Kim Corresponding Author
• 경지훈(한남대학교 산업경영공학과) | Ji Hun Kyung