Paper
31 July 2002 Image segmentation method for immune cell image analysis
Author Affiliations +
Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477204
Event: Second International Conference on Image and Graphics, 2002, Hefei, China
Abstract
An effective immune cell image segmentation algorithm based on mathematical morphology is presented in this paper. In order to get better segmentation results in addition to the morphology based watershed growth algorithm the histogram potential function is involved, which means, the image spectral information is combined with spacial information. How to get the exact segmentation result is a major issue for immune cell image analysis. Obtaining an effective and credible marker is a crucial step of watershed segmentation. By involving the histogram potential function, the markers suitable for watershed segmentation can be clearly improved and the segmentation result is quite consistent with human vision and also the segmentation speed and repeatability are quite acceptable.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiguo Jiang, Fengying Xie, and Xiaokuan Zhou "Image segmentation method for immune cell image analysis", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477204
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Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Image processing

Image analysis

Sensors

Edge detection

Signal attenuation

Image processing algorithms and systems

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