Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image

摘要：

Extracting numerous cells in a large microscopic image is often required in medical research. The challenge is to reduce the segmentation complexity on a large image without losing the fine segmentation granularity of small structures. We propose a constrained spectral graph partitioning approach where the segmentation of the entire image is obtained from a set of patch segmentations, independently derived but subject to stitching constraints between neighboring patches. The constraints come from mutual agreement analysis on patch segmentations from a previous round. Our experimental results demonstrate that the constrained segmentation not only stitches solutions seamlessly along overlapping patch borders but also refines the segmentation in the patch interiors.

作者: Elena Bernardis Stella X.Yu

作者单位: University of Pennsylvania, Philadelphia, PA 19104, USA Boston College, Chestnut Hill, MA 02467, USA

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 119-126

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）