- 期刊
- OpenAccess
A Novel Method for Segmentation of Medical Ultrasound Images
並列摘要
The traditional C-V model had a problem of intensity inhomogeneous in segmentation for images. This paper proposed a modified C-V model based on local gray information, called Local Gray Chan-Vese (LGCV) model, through using local gray image information, this model could segment inhomogeneous image in less number of iterations. Experimental results also prove the effectiveness of this method.
延伸閱讀
- 李建新（2009）。Study on Segmentation of Breast Tumors in Ultrasound Images Using Active Contour Model〔碩士論文，元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-1607200919333600
- Lai, C. W. (2008). Quantifying the Visual Features of Ultrasound Image Texture with Back-Scan Conversion [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2008.02965
- 王崇禮、陳彥樺、陳奕穎、王淑芬（2010）。The Application of Ultrasound Imaging in the Musculoskeletal System。物理治療，35(3)，175-179。https://www.airitilibrary.com/Article/Detail?DocID=15632555-201009-201102120025-201102120025-175-179
- 包舜華（2004）。Dynamic Analyses of Ultrasound Imaging and Their Clinical Applications〔博士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.02307
- Chen, C. M., Lu, H. H. S., & Su, B. S. (2002). Cell-Based Region Competition for Ultrasound Image Segmentation. Journal of Medical and Biological Engineering, 22(2), 59-66. https://www.airitilibrary.com/Article/Detail?DocID=16090985-200206-22-2-59-66-a