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- An Application of Wavelet Transform in Feature Level Image Fusion and Object Classification 小波变换在特征级多重图像融合与目标分类中的应用
- pixel level image fusion 像素级图像融合
- Image fusion fast algorithm based on CMAC[J]. 引用该论文 刘桂雄;林绪虹.
- Two different fusion methods,feature level fusion and decision level fusion are proposed using the feature got from two different PCAs. 利用两种方法分别提取人脸特征并进行识别。
- An image fusion binarization method based on Selforganization Feature Map(SOFM) neural network is presented. 提出了一种基于自组织特征映射(SOFM)神经网络的图像融合二值化方法。
- Selection of decomposition level is a key problem when wavelet transform is applied to multi-focus image fusion. 摘要小波变换应用于多聚焦图像融合时分解层数的选取是一个关键问题。
- In feature level fusion, all kinds of information is being synthesized in fault diagnosis so as to obtain the integration of the running and faulty state, a method of which dada fusion is used in fault diagnosis is provided . 在特征级处理中,针对设备故障诊断应充分利用各种信息获得关于系统运行状态和故障状况的综合评价的特点,提出了将数据融合技术用于实现对设备的故障诊断;
- An image fusion method based on cortex transform is proposed. 摘要提出一种基于皮层变换的图像融合方法。
- Multifocus image fusion method can solve this problem effectively. 多聚焦图像融合技术可有效地解决这一问题。
- The medical CT and NMR image fusion problem is discussed. 本文讨论了医学图像CT与NMR的融合问题。
- Multifocus image fusion method based on curvelet transform[J]. 引用该论文 杨俊;赵忠明.
- The problem of multifocus image fusion is discussed. 摘要本文探讨了可见光多聚焦图像的融合问题。
- A new image fusion method based on biorthogonal wavelet that different frequency component on each decomposition level uses different operator is proposed. 摘要提出一种各分解层上的不同频率分量采用不同的融合算子的双正交小波函数图像融合的新方法。
- The fourth chapter talks about classification technology used in image fusion. 第四章研究多波段图像融合分类技术,设计了地物属性库。
- Remote Sensing Image Fusion Based on Steerable Pyramid Frame Transform[J]. 引用该论文 李振华;敬忠良;孙韶媛;刘刚.
- These three steps were repeated over the located areas in higher resolution level image until the objects were found or assuredly absent. 这三个步骤在定位出的候选区域对应更高分辨率的图像上反复进行,直到待检测目标被发现或者被确定不存在为止。
- Image fusion is a key technology on medical images progressing. 图像融合是医学图像处理中的关键技术。
- The implementation results show that utilizing FMM on grey level image can get the effects of smoothing, noise suppressing and multi-scale boundary detection. 实验结果表明,模糊形态学算子应用在灰度图象上能体现传统数学形态学的性质,能平滑图象,去除噪声,还可用来进行多尺度的边界提取等。
- A New Spectral and Panchromatic Images Fusion Method[J]. 引用该论文 赵永强;潘泉;张洪才.
- Multispectral and high resolution images fusion is presented. 论文对多光谱图像和高分辨图像进行了融合。