| 动态核的形态分解联想算法及抗随机噪声研究 |
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| 引用本文： | 王宇辉,吴锡生,王士同.动态核的形态分解联想算法及抗随机噪声研究[J].计算机工程与设计,2007,28(14):3449-3452. |
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| 作者姓名： | 王宇辉 吴锡生 王士同 |
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| 作者单位： | 江南大学,信息工程学院,江苏,无锡,214122 |
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| 摘 要： | 在灰度图像分解算法和动态核形态联想记忆网络的基础上,提出了一种新的联想记忆算法--动态核的形态分解联想算法.该方法显著地提高了联想记忆抗随机噪声的能力,较好地解决了灰度图像在含噪时的联想记忆和识别的问题,从而给出了一种恢复含噪灰度图像的途径,并把该方法推广到了彩色图像的处理.通过实验,验证了该方法的良好性能,取得了理想的结果.
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| 关 键 词： | 动态核 形态分解联想算法 形态学神经网络 随机噪声 识别匹配 动态核 形态联想 解联 分解算法 随机噪声 研究 noise random analysis robust kernel dynamic based 结果 性能 验证 实验 处理 灰度图像 彩色 |
| 文章编号： | 1000-7024（2007）14-3449-04 |
| 修稿时间： | 2006-08-16 |
Morphological decomposing associative memory based on dynamic kernel and its robust analysis for random noise |
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| WANG Yu-hui,WU Xi-shen,WANG Shi-tong.Morphological decomposing associative memory based on dynamic kernel and its robust analysis for random noise[J].Computer Engineering and Design,2007,28(14):3449-3452. |
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| Authors: | WANG Yu-hui WU Xi-shen WANG Shi-tong |
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| Affiliation: | School of Information Technology, Southem Yangtze University, Wuxi 214122, China |
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| Abstract: | A new kind of associative memories method is found through the decomposing of gray-scale images,combining the method of morphological associative memories based on dynamic kernel,which improves its competence against random noise.With the method,the association and recognition of gray-scale images with random noise is settled.Accordingly,a better way to resume gray-scale images with noise is offered.Moreover,the method is popularized into the settlement and application of color-scale images.Our experimental results demonstrate the effectiveness of this approach. |
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| Keywords: | dynamic kernel morphological decomposing associative memory morphological neural networks random noise recognition and matching |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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