A method for cell image segmentation using both local and global threshold techniques

被引：1
|
作者：
Li, Yuexiang [1 ]
Cho, Siu-Yeung [1 ]
机构：
[1] Univ Nottingham Ningbo China, Fac Sci & Engn, Dept Elect & Elect Engn, Ningbo, Zhejiang, Peoples R China
来源：
MIPPR 2013: PARALLEL PROCESSING OF IMAGES AND OPTIMIZATION AND MEDICAL IMAGING PROCESSING | 2013年 / 8920卷
关键词：
Cell Image; Image Segmentation; Threshold Techniques; Hybrid Methodology; Antennas;
D O I：
10.1117/12.2031033
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper proposed a segmentation method combining both local and global threshold techniques to efficiently segment the cell images. Firstly, the image would be divided into several parts, and the Otsu operation would be used to each of them to detect details. Secondly, main body of the objects would be filtered out by a global threshold algorithm. Finally, based on the previous steps, more advanced segmentation outcomes can be achieved. The experimental results show that this algorithm made better performance at detail recognition, such as the cell antennas, which should be very helpful and important in the medical area.
引用
收藏
页数：6
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