After image localization and normalization, the subimage for each finger image is obtained.
对手指图像进行定位，经分割、归一化后得到了用于身份鉴别的手指子图。
Compared with the usual method based on single reference subimage, the new method has a lot larger measuring range.
与常用的基于单一参考子图像的波前重构方法相比，新方法的动态范围有了很大提高。
Then, the image grey level of every subimage is approximated by low-order polynomial according to least-square criterion.
然后各子图内像素灰度值以低阶多项式表示，依最小二乘准则以多项式逼近原图像的子图像。
Firstly, we coarsely detect the feature image obtained from subimage blocks, the target regions are identified according to prior knowledge.
该文借助知识理论，提出一种新的基于子图像块的区域分割与边缘检测相结合的目标提取方法。
Using the subimage of an unknown target as feature vector and minimum distance rule for target recognition, experiments on simulated data are done.
对未知目标，以其子像对库矢量的欧氏距离最小为分类准则，进行了识别模拟实验。
According to the degraded image and the ideal subimage, a filter is designed by using multiple regression analysis and then applied to restore the whole image.
根据模糊图象和估计的理想图象，利用多元回归分析设计滤波器，最后将滤波器应用于整幅图象完成图象的复原。
Among the various image manipulations, extracting a subimage from an image is a very common one, however, GD representation is not a straightforward one to do it.
在对图象的各种处理中，子图象的抽取是个很基本的操作，但用线性四元树方法存贮图象并在其上实现这一操作并不象数组表示那样简单、直观。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
本文提出了基于子图像特征融合的商标图像检索算法，并对子图像特征融合准则进行了研究。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
本文提出了基于子图像特征融合的商标图像检索算法，并对子图像特征融合准则进行了研究。
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