Mumford-Shah Segmentation for Microscopic Image of the Urinary Sediment
The technology of computer image processing has been widely used in the microscopic examination of the urine sediment. Image segmentation and contour detection is important for computer vision and pattern recognition, and the active contour segmentation for microscopic cell image of the urinary sediment is treated as the most popular study focus. This paper introduced the segmentation model based on Mumford-Shah. We developed the corresponding Euler-Lagrange equation by Gateaux derivative method. And a new algorithm of level set method is constructed by additive operator splitting (AOS)scheme to the microscopic image in urinary automation analysis. The experimental results show that the proposed algorithm is efficient, stable, and convergent and has great application value for automation detection of microscopic image.
detection segmentation microscopic image level set method additive operator splitting (AOS) Mumford-Shah model
Hongwen Luo Siliang Ma Danyang Wu Zhongyu Xu
College of Mathematics Jilin University Changchun 130012, China College of Computer Science and Engineering Changchun University of Technology Changchun 130012, Chi
国际会议
武汉
英文
875-877
2007-07-06（万方平台首次上网日期，不代表论文的发表时间）