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Signal, Image and Video Processing

, Volume 12, Issue 6, pp 1069–1077 | Cite as

Contrast enhancement for cDNA microarray image based on fourth-order moment

  • Tiejun Li
  • Guifang Shao
  • Yue Sun
  • Weiren Shi
Original Article

Abstract

Microarray technology, which can monitor the expression levels of thousands of genes simultaneously, has been widely used in biological experiment. Image processing, as one key step in microarray technology, plays an essential role in microarray analysis. Meanwhile, biological applications require a higher accuracy in each image processing step. However, the low contrast levels of image make it difficult to obtain better processing precision. This paper proposes a fully automatic contrast enhancement (CE) method based on fourth-order moment. Also, a background estimation method is presented to obtain a better microarray image processing result. Comparative results on contrast enhance and gridding revealed that the proposed CE algorithm performs better compared to the adaptive histogram equalization method. Numerous experiments on the Swiss Institute of Bioinformatics (SIB), Joe DeRisi individual (DeRisi), Gene Expression Omnibus (GEO), and Stanford Microarray Database (SMD) data sets also indicate that the proposed CE exerts a tremendous effect on gridding, but has nothing to do with segmentation.

Keywords

cDNA microarray Contrast enhancement Spot Gridding Segmentation 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 61403318) and the Fundamental Research Funds for the Central Universities of China (Grant No. 20720160085).

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institution of AutomationChongqing UniversityChongqingChina
  2. 2.School of Information EngineeringJimei UniversityXiamenChina
  3. 3.Department of AutomationXiamen UniversityXiamenChina

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