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1)  Feature Region
特征区域
1.
A recognition method of space visible target based on feature regions
一种基于特征区域的空间有形目标识别方法
2.
A robust watermarldng algorithm is proposed in feature region of digital image,and here,all secret information is embedded in the region determined by the key points and Contour tracking,which enhance the uncertainty of watermark embedding position and robustness.
提出一种基于图像特征区域的鲁棒水印算法,该算法将水印秘密信息嵌入到由关键点和轮廓跟踪确定的区域,增强水印嵌入位置的不确定性与抗攻击性。
3.
Firstly,the steady feature points are extracted from the host image by using SIFT;then the size and orientation of each local feature region are determined adaptively according to its feature scale and orientation.
首先利用SIFT算法从载体图像中提取稳定的特征点;然后根据特征尺度和方向自适应来确定每个局部特征区域大小和方向;最后从中选择具有较大特征尺度互不重叠的特征区域,并利用量化小波系数的方法将水印嵌入到每个局部特征区域内。
2)  Feature area
特征区域
3)  characteristic zone
特征区域
1.
Analysis of characteristic zones of isothermal superplastic welded joint of heterogeneous steels;
异种钢恒温超塑焊接头特征区域分析
2.
This paper researches several kinds of proposed classification methods of characteristic zones about fusion welded joint.
本文研究了已提出的几种熔焊接头特征区域划分方案,找出认识一致和认识分歧之处,并对认识分歧的原因进行了详细讨论。
3.
A new view of characteristic zone of fusion welding joint is put forward through observations and researches of many fusion welding joints.
通过大量的熔化焊接头试样的观察和研究,提出了熔化焊接头特征区域划分新方案。
4)  feature blocks
特征区域
1.
An original image is divided into non-overlapped blocks, fractal dimension is used to analyze the contents of the image blocks, and the feature blocks which contain edges and textures are selected and then are classified into three different parts: edges, weak textures and strong textures by variance characteristics.
再根据图像块内部以及相邻图像块之间的方差特性将所选的特征区域细分为边缘、弱纹理和强纹理。
5)  regional characteristics
区域特征
1.
Trends of summer precipitation and its regional characteristics in Liaoning Province,China during 1961-2004;
辽宁省近44年夏季降水变化及区域特征分析
2.
Research on the Regional Characteristics in the Content of Plastid Pigmen in Hunan Tobacco Leaf
湖南烟叶质体色素含量的区域特征研究
6)  regional feature
区域特征
1.
The fusion method of regional features based on wavelet coefficient ma- trices was adopted for the subimage.
提出一种新的图像融合方法,该方法首先利用小波变换对要融合的图像进行多尺度小波分解;然后对分解后的各层上不同频带的子图像采用不同的融合处理技术,即在低频域内采用平均算子进行融合处理,以保留图像的背景信息,在高频域内对分解后的小波系数矩阵采用区域特征进行融合处理;最后将融合的低频分量和高频细节分量结合进行小波逆变换得到融合图像。
补充资料:特征区
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性质:一个连续边界内的区域,例如一个集合图形,它具有与特征区外背景区完全不同的光密度数值(灰度等级范围)。

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