Abstract
Addressing the location of the spots is the prime step in microarray investigation. Microarray spots are useful in determining the differential gene expression of given sample. Cross covariance method is used to correlate the known and unknown spot in microarray images. Before applying gridding method, noise correction of the image is performed. Both white tophat and black tophat transform by morphological open are applied on acquired image to remove small artifacts and noise which are present in foreground of the image. In this article, a novel technique for spot identification of microarray images using statistical method of cross covariance is proposed. The present work is found to be accurate when compared to the methods in existing literature.
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Karthik, S.A., Manjunath, S.S. (2018). An Automated and Efficient Approach for Spot Identification of Microarray Images Using X-Covariance. In: Guru, D., Vasudev, T., Chethan, H., Kumar, Y. (eds) Proceedings of International Conference on Cognition and Recognition . Lecture Notes in Networks and Systems, vol 14. Springer, Singapore. https://doi.org/10.1007/978-981-10-5146-3_26
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DOI: https://doi.org/10.1007/978-981-10-5146-3_26
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