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An Improved Segmentation Method for Cytoskeleton Images |
ZHOU HongQiong1,2, WANG ZengFu2, LIN WanHong1, DING Bai1 |
China Astronaut Research and Training Center, Beijing 100094 Department of Automation, University of Science and Technology of China, Hefei 230027 |
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Abstract It is a key step to quantitatively describe the images of the cytoskeleton in the analysis of cell morphology. However, to describe the cytoskeleton accurately, the areas which only include microfilaments or microtubules must be separated from the cytoskeleton image. Based on the ChanVese method and the Otsu method, an improved method for the segmentation of cytoskeleton images is introduced. The method realizes the segmentation of cytoskeleton images by combining the ChanVese method and the Otsu method which has stable and fast performance. The experimental results show that compared with the ChanVese method the improved method reduces the time significantly.
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Received: 06 November 2006
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