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A Separating Algorithm for Overlapping Cell Images
Department of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, China
Institute of Optoelectronic Engineering, Jinan University, Guangzhou, China
Department of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, China
Department of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, China
- 1 Department of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, China
- 2 Institute of Optoelectronic Engineering, Jinan University, Guangzhou, China
- 3 Department of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, China
- 4 Department of Electronic Communication Technology, Shenzhen Institute of Information Technology, Shenzhen, China
Journal of Software Engineering and Applications·Volume 06 (2013)·Pages 179–183·Published 25 April 2013·DOI10.4236/jsea.2013.64023
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Abstract
The cell overlapping and adhesion phenomenon often exists in cell image processing. Separating overlapped cell into single ones is of great important and difficult in cell image quantitative analysis and automatic recognition. In this paper, an algorithm based on concave region extraction and erosion limit has been proposed to judge and separate overlapping cell images. Experimental results show that the proposed algorithm has a good separation effects on analog cell images. Then the method is applying in actual cervical cell image and obtains good separation result.
KeywordsCell ImageOverlappingSeparationConvexity ClosureErosion Limit
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