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DOI QR Code

명암 대비와 에지 선예도를 이용하는 영역 성장법에 의한 디지털 X선 맘모그램 영상에서의 미세 석회화 검출

Microcalcification Detection Based on Region Growing Method with Contrast and Edge Sharpness in Digital X-ray Mammographic Images

  • 원철호 (경일대학교 제어계측공학과) ;
  • 강신원 (경북대학교 전자전기컴퓨터학부) ;
  • 조진호 (경북대학교 전자전기컴퓨터학부)
  • Won, C.H. (Dept. of Compute Control Eng., Kyungil University) ;
  • Kang, S.W. (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Cho, J.H. (School of Electrical Engineering and Computer Science, Kyungpook National University)
  • 발행 : 2004.01.30

초록

In this paper, we proposed the detection algorithm of microcalcification based on region growing method with contrast and edge sharpness in digital X-ray mammographic images. We extracted the local maximum pixel and watershed regions by using watershed algorithm. Then, we used the mean slope between local maximum and neighborhood pixels to extract microcalcification candidate pixels among local maximum pixels. During increasing threshold value to grow microcalcification region, at the maximum threshold value of the contrast and edge sharpness, the microcalcification area is decided. The regions of which area of grown candidate microcalfication region is larger than that of watershed region are excluded from microcalcifications. We showed the diagnosis algorithm can be used to aid diagnostic-radiologist in the early detection breast cancer.

키워드

참고문헌

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