대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)

대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
권호 표지

심초음파 영상의 영역 분류를 위한 다중 문턱치 자동 검출 알고리듬

Automatic Multi-threshold Detection Algorithm for the Segmentation of Echocardiographic Images

  • 최창효 (경북대학교 전자공학과) ;
  • 구성모 (경북대학교 전자공학과) ;
  • 김명남 (경북대학교 전자공학과) ;
  • 조성목 (경북대학교 전자공학과) ;
  • 조진호 (경북대학교 전자공학과 및 경북대학교병원 의공학과)
  • Choi, Chang-Hou (Dept. of Electronics, Kyungpook National University) ;
  • Koo, Sung-Mo (Dept. of Electronics, Kyungpook National University) ;
  • Kim, Myoung-Nam (Dept. of Electronics, Kyungpook National University) ;
  • Cho, Sung-Mok (Dept. of Electronics, Kyungpook National University) ;
  • Cho, Jin-Ho (Dept. of Electronics, Kyungpook National University and Dept. of Biomedical Eng., Kyungpook National University Hospital)
  • 발행 : 1994.12.03
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

An automatic multi-threshold algorithm for segmentation of 2D ultrasound images based on average filtering and the characteristics of speckle noise in 2D ultrasound image is proposed. To do this, we investigate the histogram of difference between $7{\times}7$ averaging histogram and $3{\times}3$ averaging histogram. And, we find zero crossing points in the positive portion of the differenced histogram and select middle points of the zero crossing points. We assign these selected points to characteristic points. The thresholds are the center of two characteristic points. Then we segment 2D ultrasound image by using these thresholds and extract edges from applying edge operator to optimal segmented image. Experimental results show that the segmented regions are devided accurately around the homogeneous region.

키워드