| 新的形态学图像降噪方法 |
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| 引用本文： | 黄宝贵,马春梅,卢振泰.新的形态学图像降噪方法[J].计算机应用,2011,31(3):757-759. |
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| 作者姓名： | 黄宝贵 马春梅 卢振泰 |
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| 作者单位： | 1. 曲阜师范大学 计算机科学学院,山东 日照2768262. 南方医科大学 生物医学工程学院,广州510515 |
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| 基金项目： | 国家自然科学基金重点资助项目 |
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| 摘 要： | 提出一种新的基于轮廓结构(CB)元素形态学的多尺度图像降噪方法。考虑到图像在不同尺度下的特性，用基于轮廓结构元素形态学的多尺度算法滤除图像噪声，然后将不同尺度下的降噪图像加权融合在一起，从而得到最终的降噪图像。通过大量实验证明该方法能够有效去除多种不同类型的图像噪声，并在抑制噪声的同时很好地保护了图像的细节和边缘信息。
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| 关 键 词： | 数学形态学 多尺度 图像降噪 滤波 |
| 收稿时间： | 2010-08-10 |
| 修稿时间： | 2010-09-22 |
New image denoising approach based on morphology |
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| HUANG Bao-gui,MA Chun-mei,LU Zhen-tai.New image denoising approach based on morphology[J].journal of Computer Applications,2011,31(3):757-759. |
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| Authors: | HUANG Bao-gui MA Chun-mei LU Zhen-tai |
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| Affiliation: | 1. School of Computer Science, Qufu Normal University, Rizhao Shandong 276826, China2. School of Biomedical Engineering, Southern Medical University, Guangzhou Guangdong 510515, China |
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| Abstract: | A new image denoising method based on Contour Bougie (CB) elements morphology was proposed. Considering the image characteristics on different scales, the morphological multi-scale algorithm based on contour structure elements was employed to remove the noise in image, and then the weighted fusion of the denoised image on different scales was done. A large number of experiments show that the proposed method can not only suppress many kinds of image noise but also protect the image detail effectively. |
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| Keywords: | mathematical morphology muli-scale image denoising filtering |
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