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Automatic Segmentation of Femoral Cartilage from MR Image Based on Hough Transform and Adaptive Canny Detection
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.6 No.4 (2013.08)바로가기
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- 페이지
- pp.265-274
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A206591
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Medical image segmentation has important significance for thickness estimation of the articular cartilage and joint disease diagnosis. In this study, a novel automatic segmentation method based on Hough transform and edge detection was proposed to divide femoral cartilage in human hip joint from MR images. MR image was interpolated, smoothed and enhanced in preprocessing to improve the image quality. Hough transform was employed to find out the center position of the femoral head and the anatomical constrain of the hip joint was considered to estimate the area of interest (AOI). Furthermore, the rough segmentation range was extracted. To figure out the border of the cartilage, the adaptive thresholding Canny detector was exerted. The detected edges were then labeled and filtered in a custom one by one manner to remove the noise edges and acquire the exact inner and outer edges of the femoral cartilage, according to the properties of the pixel on femoral cartilage edge. Image data between the two edges were finally extracted to achieve the femoral cartilage segmentation. Experiment on 120 MR image slices proved that the method can automatically segment the femoral cartilage fast and accurately.
목차
Abstract
1. Introduction
2. Image Preprocessing
3. Image Segmentation
3.1. Center Extraction based on the Hough Transform
3.2. Select Rough Region
3.3. Accurate Edge Extraction and Segmentation
4. Experiment
5. Conclusion
Acknowledgements
References
키워드
Automatic segmentation MR image Hough transform Canny detection femoral cartilage저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.4
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