Split-and-Merge Fast Level Set Methods and their application to medical image segmentation
Vu Dang Tran, Young Jun Seo, Phạm Thành Trung, Jin Young Kim, Seoung You Na · 한국지능시스템학회 학술발표 논문집 · 2009
The boundary evolution based Level Set Method has been widely used in medical image segmentation. In this paper, we have developed a new algorithm that extends the Fast Level Set Method. The main contributions of this work are to formulate a new level set function, define relationships between layers and use an alternative elimination criterion in interface evolution. The experimental results validate the effectiveness and efficiency of our approach, compared to the classical Level Set Method and the original Fast Level Set Method.