这对小目标提取显然有着重大的意义。
针对光电探测所得低信噪比图像序列，提出了一种结合形态学和图像流法的空间小目标提取方法。
To detect small space target from low SNR image sequences acquired from electro-optical detection, an effective method which combines morphology with image flow is proposed.
为返回数据源中与查询目标节点相似的节点，首先提取出数据源中长度在固定范围内的所有路径，然后利用关系数据库系统将其与查询路径进行相似性连接，并按相似度从大到小返回所有结果。
To get the source nodes similar to the target query node, firstly the paths whose lengths were within an interval were extracted from the data source, then a similarity join process between them and.
提出了基于小波包变换和改进奇异值分解的高分辨雷达目标一维距离像特征提取方法。
A feature extraction method of high-range-resolution radar profiles, which takes advantage of wavelet packet transform and modified SVD (singular value decomposition) was proposed.
以毫米波敏感器在军事中的应用为背景，对毫米波敏感器信号的波形特征进行分析，采用小波变换进行目标信息的特征提取。
On the basis of the applications of MMW sensors to the munitions, this thesis analyses the wave characters of MMW sensors 'signal, use wavelet transform to extract the features of target information.
进一步，基于广义多尺度分形参数，本文提出了一种具有抗噪性能的稳健的目标提取算法，并用于海上小目标的提取。
Furthermore, an robust algorithm which is based on generalized multiscale fractal parameter is proposed for the small target extraction on ocean with good noise immunity.
为了进一步提高MSTARSAR目标的识别效果，在分析了MSTAR SAR图像特点的基础上，提出了一种利用离散小波分解提取目标特征的方法。
In order to improve the recognition effect and on the basis of analyzing the characteristic of MSTAR SAR image, a method of discrete wavelet analysis is proposed to extract features.
本文研究了利用小波变换提取水下目标瞬态回波的边缘特征并进行目标分类的可行性。
The feasibilities of using wavelet transform to extract the edges of the echoes and then classify the targets based on the edge features have been studied in this paper.
在此基础上依据小目标是孤立亮斑的特点设计出三阈值起始点提取方法，然后用有阈值限制的区域生长和区域合并的方法恢复没有被提取出来的面目标的内部和弱边缘。
Then a three threshold method is designed to extract the starting points according to the fact that the small objects in the infrared image are separated and have relatively high brightness.
在小目标跟踪过程中，如何把目标从复杂背景中提取出来是实现跟踪的前题。
During tracking a small target, it is important that how to take the target from complex background.
针对红外图像中的小目标检测，提出了一种利用经验模态分解(EMD)提取海空背景下红外弱小目标的新方法。
A new method was provided based on the empirical mode decomposition (EMD) to solve the difficulties of infrared image dim small target detection in complex background of sky and sea.
提出了基于小波多尺度边缘检测的水下图像处理算法，结合数学形态学运算和区域分割算法，把目标从背景中提取出来。
The extraction algorithm of underwater objects based on wavelet edge detection is proposed to extract objects from complicated background combined with mathematics morphologic operation.
利用小波包分析算法提取出单帧图像的边缘信息并获得细化的目标区域边缘图；
Firstly, a rough motion mask is obtained by introducing a motion area segmentation method based on an improved accumulative frame- difference algorithm and optimal threshold segmentation.
利用小波包分析算法提取出单帧图像的边缘信息并获得细化的目标区域边缘图；
Firstly, a rough motion mask is obtained by introducing a motion area segmentation method based on an improved accumulative frame- difference algorithm and optimal threshold segmentation.
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