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腐蚀膨胀算法对灰度图像去噪的应用 被引量:26

Application of Decreasing Noise of Gray Image by Corrosion and Expansion Algorithm
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摘要 为了解决传统去噪方法对灰度图像效果不佳的问题,采用形态学算法中的腐蚀与膨胀算法,设计了不同的结构元,以应对不同的噪声。传统的腐蚀膨胀算法会在一定程度上改变图像,为消除这一影响,在该算法基础上又设计了一种对比采样的方法,将原图与初步处理过的图像进行对比,得到最终图像。结果表明:此方法能够在基本不改变原图的情况下有效地除去噪声。 In order to solve the problem of bad effects by traditional method, this paper uses corrosion and expansion algorithm in morphological algorithm, and designs the structure of different structural element to cope with the different noise. But the traditional corrosion expansion algorithm will change the image, in order to eliminate this influence, it designs a sampling a method of comparison of sampling, compared with the original and primary processed image, get a new image almost without noisy. The results show that the method can effectively decrease noise without changing the original image.
出处 《北京印刷学院学报》 2014年第4期63-65,共3页 Journal of Beijing Institute of Graphic Communication
基金 2014年国家级大学生创新创业训练计划项目(09000114/049) 国家自然科学基金(NSFC61178092 NSFC61378001) 北京市委组织部优秀人才项目(2011B005004000002) 北京印刷学院科研重点(E-a-2013-22) 北京印刷学院一般项目(E-b-2014-20)
关键词 腐蚀算法 膨胀算法 灰度图 图像去噪 corrosion algorithm expansion algorithm grey -scale map imagedenoising
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