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

Yuexiang Li; Siu-Yeung Cho

doi:10.1117/12.2031033

27 October 2013 A method for cell image segmentation using both local and global threshold techniques

Yuexiang Li, Siu-Yeung Cho

Proceedings Volume 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing; 89200P (2013) https://doi.org/10.1117/12.2031033
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

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.

Citation Download Citation

Yuexiang Li and Siu-Yeung Cho "A method for cell image segmentation using both local and global threshold techniques", Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 89200P (27 October 2013); https://doi.org/10.1117/12.2031033

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