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| 基于数学形态学的噪声图像复原 | |
| 引用本文： | 黄勇,胡雯,叶金印.基于数学形态学的噪声图像复原[J].安徽农业科学,2010,38(7):3822-3824. |
| 作者姓名： | 黄勇 胡雯 叶金印 |
| 作者单位： | 1. 安徽省大气科学与卫星遥感重点实验室,安徽合肥,230031;安徽省气象科学研究所,安徽合肥,230031 2. 安徽省大气科学与卫星遥感重点实验室,安徽合肥,230031;淮河流域气象中心,安徽合肥,230031 3. 淮河流域气象中心,安徽合肥,230031 |
| 基金项目： | 国家自然基金项目(940675001);;中国气象局项目(CMATG2007Z11);;中国气象局项目(CMATG2009MS07) |
| 摘 要： | 根据块状噪声的特殊性,利用数学形态学方法中膨胀、腐蚀、开运算、闭运算的原理,首先对图像中的颜色进行分类,定位非噪声区域和疑似噪声区域,然后用非噪声区域对疑似噪声区域进行腐蚀,用非噪声区域的颜色填充被腐蚀区域,最后进行膨胀操作。此方法在去除噪声的同时,复原了被噪声污染的区域。 |
| 关 键 词： | 数学形态学 噪声 图像复原 |
Noise Image Restoration Based on Mathematical Morphology |
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| HUANG Yong et al.Noise Image Restoration Based on Mathematical Morphology[J].Journal of Anhui Agricultural Sciences,2010,38(7):3822-3824. | |
| Authors: | HUANG Yong |
| Institution: | Anhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing;Hefei;Anhui 230031 |
| Abstract: | According to particularity of block noise,with the principles of expansion,corrosion,opening operation and closing operation in mathematical morphology,the color of the image was classified at first,and the non-noise region and the suspect noise region was located,and then the non-noise region was taken to corrode the suspect noise region,and the color of non-noise region was taken to fill the corroded region,and the cal dilation was conducted at last.This method could be used to recuperate the region that ... |
| Keywords: | Mathematical morphology Noise Image restoration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |