INSTITUTIONAL DIGITAL REPOSITORY

Curvelet initialized level set cell segmentation for touching cells in low contrast images

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dc.contributor.author Kaur, S.
dc.contributor.author Sahambi, J.S.
dc.date.accessioned 2016-07-21T07:05:08Z
dc.date.available 2016-07-21T07:05:08Z
dc.date.issued 2016-07-21
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/93
dc.description.abstract Cell segmentation is an important element of automatic cell analysis. This paper proposes a method to extract the cell nuclei and the cell boundaries of touching cells in low contrast images. First, the contrast of the low contrast cell images is improved by a combination of multiscale top hat filter and h-maxima. Then, a curvelet initialized level set method has been proposed to detect the cell nuclei and the boundaries. The image enhancement results have been verified using PSNR (Peak Signal to noise ratio) and the segmentation results have been verified using accuracy, sensitivity and precision metrics. The results show improved values of the performance metrics with the proposed method. en_US
dc.language.iso en_US en_US
dc.subject Cell segmentation en_US
dc.subject Multiscale top hat transform en_US
dc.subject h-maxima en_US
dc.subject Curvelets en_US
dc.subject Level sets en_US
dc.title Curvelet initialized level set cell segmentation for touching cells in low contrast images en_US
dc.type Article en_US


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