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http://dx.doi.org/10.9708/jksci/2012.17.10.035

Complex Cell Image Segmentation via Structural Feature Information  

Kim, Seong-Gon (Department of Computer Engineering, Catholic Uni. of Pusan)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.10, 2012 , pp. 35-41 More about this Journal
Abstract
We propose a new marker driven Watershed algorithm for automated segmentation of clustered cell from microscopy image with less over segmentation. The Watershed Transform is able to segment extremely complex objects which are highly touched and overlapped each other. The success of the Watershed Transform depends essentially on the finding markers for each of the objects of interest. For extracting of markers positioning around center of each cell we used radial symmetry and iterative voting algorithms. With synthetic and real images, we quantitatively demonstrate the performance of our method and achieved better results than the other compared methods.
Keywords
Watershed Algorithms; Radial Symmetry; Iterative Voting; Marker;
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