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Content Provider | IEEE Xplore Digital Library |
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Author | Hanqing Tantan Huiyan Jiang Aoshuang Dong Benqiang Yang Libo Zhang |
Copyright Year | 2014 |
Description | Author affiliation: Software Coll., Northeastern Univ., Shenyang, China (Hanqing Tantan; Huiyan Jiang; Aoshuang Dong) || Dept. of Radiol., PLA Gen. Hosp., Shenyang, China (Benqiang Yang; Libo Zhang) |
Abstract | This paper briefly introduces an cell segmentation scheme which is applied to the high resolution cell images. This method is simple, effective and easy to implement. It first uses the C-V level set method to initially separate the cells and other tissues from patches of a cell image, and then an effective color filter is used to determine the cells object and wipe off residual background color. Finally, morphology methods are employed to optimize the segmentation results. The main contribution of our work is that a novel application mode of C-V method is employed to adapt the irregular distribution of cells and complex texture of image. The novelty of our paper is that a new color filter is proposed to eliminate the error mapping from foreground to cells, which is caused by C-V level set method in some cases, and effective morphology process is used to improve the segmentation results. The comparative experiments demonstrate that our method outperforms the original C-V level set method on cells segmentation. |
Sponsorship | IEEE Sapporo Sect. |
Starting Page | 1073 |
Ending Page | 1077 |
File Size | 281326 |
Page Count | 5 |
File Format | |
ISBN | 9781479931965 |
e-ISBN | 9781479931972 |
DOI | 10.1109/InfoSEEE.2014.6947834 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-04-26 |
Publisher Place | Japan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image segmentation Image resolution Image color analysis Capacitance-voltage characteristics Level set C-V level set Morphology Educational institutions Cell Segmentation Color Filter |
Content Type | Text |
Resource Type | Article |
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