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NEW APPROACH TO THE IMPULSIVE NOISE REMOVAL IN MICROARRAY IMAGES

机译:微阵列图像冲动噪声拆除的新方法

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In this paper a new method of impulsive noise reduction in microarray images is presented. The new technique is capable of attenuating impulsive noise, while preserving the sharpness of the image edges. Extensive simulations reveal that the new method outperforms significantly the standard techniques widely used in multivariate signal processing. In this work we apply the new noise reduction method for the enhancement of the images of the microarray chips. We demonstrate that the new technique is capable of reducing impulsive noise, which is very often present in the microarray images and that it enables efficient spot localization and estimation of the gene expression level, due to the smoothing effect and preservation of the spot edges. This paper contains the comparison of the efficiency of the new technique of noise reduction with the standard procedures used for the processing of vector valued images, as well as examples of the efficiency of the new algorithm when applied to typical microarray images.
机译:本文提出了一种新的微阵列图像脉冲降噪方法。新技术能够衰减脉冲噪声,同时保持图像边缘的锐度。广泛的模拟表明,新方法显着优于多变量信号处理的标准技术。在这项工作中,我们应用新的降噪方法来增强微阵列芯片的图像。我们证明新技术能够减少脉冲噪声,其通常存在于微阵列图像中,并且由于光斑边缘的平滑效果和保存,它能够有效地定位和基因表达水平的估计。本文包含与用于处理矢量值图像的标准过程的新噪声减少技术的效率的比较,以及在应用于典型的微阵列图像时新算法的效率的示例。

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