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- W2392438839 abstract "Microarray image noise reduction determines the precision and veracity of microarray data processing and information extraction.Highly fluorescent noise is a type of special noise with higher brightness and shape in block which can′t be removed by traditional methods.According to the feature of it,this paper proposes that using mathematical morphology opening operator with disk structure element to evaluate image quality,then suppress the noise with thresholding segmentation techniques.Two methods are put forward to get threshold:one is the adaptive method based on maximum variance between clusters,another is the fixed means.Through comparison and analysis,the lots of experiment results show that both two methods can effectively remove the highly fluorescent noise and preserve edge and detailed information." @default.
- W2392438839 created "2016-06-24" @default.
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- W2392438839 date "2009-01-01" @default.
- W2392438839 modified "2023-09-23" @default.
- W2392438839 title "Methods for Highly Fluorescent Noise Reduction in Microarray Images" @default.
- W2392438839 hasPublicationYear "2009" @default.
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