助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   the wavelet plane 的翻译结果: 查询用时:0.007秒
图标索引 在分类学科中查询
所有学科
工业通用技术及设备
自动化技术
更多类别查询

图标索引 历史查询
 

the wavelet plane
相关语句
  相似匹配句对
     d-Wavelet Set
     d-小波集
短句来源
     On wavelet processing
     子波处理方法的研究
短句来源
     On the Quaternion Wavelet
     关于四元数形式小波的研究
短句来源
     The Generalized Haar Wavelet
     广义Haar子波
短句来源
     Wavelet Frames on the Plane
     平面小波标架
短句来源
查询“the wavelet plane”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


An image edge can be defined as the difference of image features in a local region,and its appearance is the mutation of image gray or texture structure or color.Image edges are very important to human being and machine vision,because they can transfer the most information of an image.Detecting image edge is considered as a key step in many complicated processing methods like image segmentation,image recognition and feature extraction.In this paper,some classic methods are discussed and the à trous wavelet...

An image edge can be defined as the difference of image features in a local region,and its appearance is the mutation of image gray or texture structure or color.Image edges are very important to human being and machine vision,because they can transfer the most information of an image.Detecting image edge is considered as a key step in many complicated processing methods like image segmentation,image recognition and feature extraction.In this paper,some classic methods are discussed and the à trous wavelet decomposition applied to detecting image edge is discussed based on the wavelet decomposition theory in detail.The à trous decomposition is one of discrete wavelet transform algorithms.On the basis of à trous wavelet decomposition theory a detecting image edge method is derived,according to which the image can be decomposed into wavelet planes of increasing scales and the wavelet planes have the same number of pixels as the original image.An algorithm of detecting image edge based on à trous wavelet decomposition,which is suitable for computer program is presented.We use the method,Sobel and Robert algorithms to process the same SPOT image.Comparing the results,we can find that the main edges which are detected by the à trous wavelet decomposition method from the origin SPOT image are better than those obtained by Sobel or Robert method.We also note that the new detecting image edge algorithm can gain more tiny edge information than the other two methods.When the original image is stained by noise,the detecting image edge algorithm on basis of the à trous wavelet decomposition is not disturbed mostly,but Sobel and Robert algorithms are sensitive to noise.We have applied the algorithm which is presented for detecting image edge to getting binary image,and the result is satisfactory.So,the algorithm is better than the other two methods in some aspects,especially applied to original images which are stained by noise.

讨论了劋trous小波分解的原理及进行边缘检测的方法靡环樱校希砸8型枷窠辛耸匝?,并与经典的Sobel算子和Robert算子处理的结果进行了比较。结果表明 ,其性能在某些方面具有明显的优越性 ,并具有一定的抗噪声能力。同时 ,讨论了本文所述方法需要进一步改进的地方。

A new algorithm is developed to merge a high-resolution panchromatic image and a low-resolution multi-spectral image based on the combination of multi-resolution wavelet decomposition and the IHS transform. The high-resolution panchromatic image is firstly decomposed to the wavelet planes, then the region is divided by edge information from the wavelet planes and the intensity component from multi-spectral image is merged by fusion operator in different region. The proposed method is compared...

A new algorithm is developed to merge a high-resolution panchromatic image and a low-resolution multi-spectral image based on the combination of multi-resolution wavelet decomposition and the IHS transform. The high-resolution panchromatic image is firstly decomposed to the wavelet planes, then the region is divided by edge information from the wavelet planes and the intensity component from multi-spectral image is merged by fusion operator in different region. The proposed method is compared with the IHS and the WT methods. The experimental results show that the proposed method can achieve better fusion performance in combining and preserving spectral-spatial information.

提出了一种多光谱与高分辨率图像融合的新算法 .该方法将小波的多分辨分解与IHS变换相结合 ,它首先利用高分辨率图像各小波面叠加的边缘信息进行区域划分 ,再通过融合算子实现分区域融合 ,最后对融合后的强度分量进行IHS反变换 ,得到一幅同时具有较好空间分辨率和光谱信息的融合图像 .实验结果表明 ,该方法得到的融合图像优于IHS变换法和小波变换法 (WT法 ) .

A new algorithm is developed to merge a high-resolution panchromatic image and a low-resolution multi-spectral image based on the combination of multi-resolution wavelet decomposition, evolutionary strategy and the IHS transform. The high-resolution panchromatic image is firstly decomposed to the wavelet planes, then the region is divided by the wavelet planes and the proposed merging algorithm is done by adding edge influence factor in different region. The proposed method is compared with...

A new algorithm is developed to merge a high-resolution panchromatic image and a low-resolution multi-spectral image based on the combination of multi-resolution wavelet decomposition, evolutionary strategy and the IHS transform. The high-resolution panchromatic image is firstly decomposed to the wavelet planes, then the region is divided by the wavelet planes and the proposed merging algorithm is done by adding edge influence factor in different region. The proposed method is compared with the IHS and the MWD methods. The results of the comparison show the proposed merger performing the best in combining and preserving spectral-spatial information for the test images.

将小波的多分辨分解、进化策略与IHS变换有机地结合起来,提出了一种多光谱与高分辨率图像融合的新算法。该方法首先依据高分辨率图像经小波分解得到的各小波面,进行区域划分,再采用分区域加边缘有效因子的融合思想,使得融合图像最大限度地保留了多光谱图像的光谱信息和高分辨率图像的空间分辨率。文中给出了该方法的融合结果,并与IHS法、MWD法进行了比较,证明了该图像融合方法的有效性。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关the wavelet plane的内容
在知识搜索中查有关the wavelet plane的内容
在数字搜索中查有关the wavelet plane的内容
在概念知识元中查有关the wavelet plane的内容
在学术趋势中查有关the wavelet plane的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社