Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/4945
Title: Microarray sub-grid detection: A novel algorithm
Authors: Morris, D
Wang, Z
Liu, X
Keywords: Microarray;Gridding;Image filter;Shape detection;Sub-grid detection
Issue Date: 2007
Publisher: Taylor & Francis
Citation: International Journal of Computer Mathematics, 84(5): 669-678, May 2007
Abstract: A novel algorithm for detecting microarray subgrids is proposed. The only input to the algorithm is the raw microarray image, which can be of any resolution, and the subgrid detection is performed with no prior assumptions. The algorithm consists of a series of methods of spot shape detection, spot filtering, spot spacing estimation, and subgrid shape detection. It is shown to be able to divide images of varying quality into subgrid regions with no manual interaction. The algorithm is robust against high levels of noise and high percentages of poorly expressed or missing spots. In addition, it is proved to be effective in locating regular groupings of primitives in a set of non-microarray images, suggesting potential application in the general area of image processing.
Description: This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Taylor & Francis Ltd
URI: http://bura.brunel.ac.uk/handle/2438/4945
DOI: http://dx.doi.org/10.1080/00207160701242292
ISSN: 0020-7160
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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