Impulse noise removal in two-dimensional electrophoresis images based on dome recognition

Qiaofeng Ou, Huisheng Zhang, Lixin Li, Bangshu Xiong
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引用次数: 1

Abstract

Two-dimensional gel electrophoresis (2DE) images are often corrupted by impulse noise in broad sense (including various artifacts, such as fingerprints, hairs, gel cracks, strips, water stains, dust and so on). In this paper, we propose a novel adaptive directional filter (ADF) to remove impulse noise completely and accurately. Firstly, we detect the impulse noise based on the observation that the directional derivative distributions around the protein spot centers and noise pixels are very different. Then, according to the bell-shaped three-dimensional appearance of protein spots, the greatest and smallest gradient directions were used to restore the noised pixels. Lastly, the pixels adjacent to the modified pixels are iteratively detected and restored until no impulse noise is detected. Experimental results on the synthetic and real 2DE images show that the proposed method performs much better than the previous approaches.
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基于圆顶识别的二维电泳图像脉冲噪声去除
二维凝胶电泳(2DE)图像经常受到广义脉冲噪声(包括各种人工制品,如指纹、毛发、凝胶裂纹、条带、水渍、灰尘等)的破坏。本文提出了一种新的自适应定向滤波器(ADF),可以完全准确地去除脉冲噪声。首先,我们根据观察到的蛋白质斑点中心周围的方向导数分布和噪声像素有很大的不同来检测脉冲噪声;然后,根据蛋白质斑点的钟形三维外观,利用最大和最小梯度方向恢复噪声像素。最后,迭代检测和恢复与修改后的像素相邻的像素,直到没有检测到脉冲噪声。在合成和真实2DE图像上的实验结果表明,该方法的性能明显优于以往的方法。
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