Abstract
Image segmentation is supposed to be the most important step in microarray image analysis. In this work, we proposed a new template-based segmentation method for DNA microarray images. Different from the local-based segmentation techniques adopted by all the available analysis softwares, our algorithm segments images from global view of point. Based on mean shift filtering technique, we first segmented image into some different homogenous regions in which all the spots appeared as different local maximum regions. Then an initial spot segmentation template was extracted by morphological H- reconstruction. Finally, a refined spot segmentation template was obtained by histogram analysis. Experimental results showed that our algorithm is robust and can obtain accurate spot segmentation results. Especially, compared to all the available algorithms, our template-based spot segmentation scheme not only can facilitate downstream intensity extraction step but also can be very helpful to improve the accuracy of intensity extraction.
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Wu, S., Wang, C., Yan, H. (2005). Mean Shift and Morphology Based Segmentation Scheme for DNA Microarray Images. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_5
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DOI: https://doi.org/10.1007/11538356_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
Online ISBN: 978-3-540-31907-8
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