@inproceedings{66ad2e6811454081acb17a8650f33dce,
title = "Local complex phase based level set and its application to DIC red blood cell segmentation",
abstract = "Cell segmentation in microscopy imagery is essential for many biomedical applications. In this paper, a novel level set based technique is proposed for segmenting the differential interference contrast (DIC) red blood cell microscopy images. Based on the framework of subjective surfaces, a local complex phase based edge indicator function is introduced to replace the traditional gradient-based edge detection method for the local image feature acquisition, which is the key for the evolution of the surface. In addition, to help improve the detection of cell edges, we propose a modified version of level set framework in subjective surfaces embedded with shape prior information. In experiments, we show that the proposed method is more accurate and reliable than several existing typical level set methods for DIC red blood cell image segmentation.",
keywords = "Cell segmentation, local complex phase, red blood cell, shape prior, subjective surfaces",
author = "Taoyi Chen and Yong Zhang and Changhong Wang and Zhenshen Qu and Maomao Cai and Fei Wang and Tanveer Syeda-Mahmood",
year = "2011",
doi = "10.1109/ISBI.2011.5872384",
language = "英语",
isbn = "9781424441280",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "187--190",
booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",
address = "美国",
note = "8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011 ; Conference date: 30-03-2011 Through 02-04-2011",
}