| 1. | Image intensity distribution
像光强座分布 |
| 2. | This method utilizes the distribution property of image intensity . given the false alarm probability , the threshold for likelihood difference can be determined
该方法利用sar图像的强度分布特性，根据虚警率确定相邻区域之间存在边界的似然差函数的阈值。 |
| 3. | Both media with gain and loss as well as amplitude - phase scatterer are considered . a new functional expression is derived for predicting the hot - image intensity
( 3 )对位相型、振幅位相混合型衍射物在理想介质、增益损耗介质中热像形成的物理规律进行了研究。 |
| 4. | An improved algorithm for corner detection is based on the property of corners that the change of image intensity should be high in all direction
摘要提出了一种改进的角点提取算法，该算法是基于角点的性质，即在角点的某个邻域内，图像灰度的变化在任意一条通过该点的直线上都很大。 |
| 5. | Acquisition and examination of image data from a phantom ( inert test sample ) to investigate image intensity non - uniformity , spatial and temporal noise from instrumental sources , and rf receive coil properties
用假体（无生命的测试样品）来取得影像并检视资料，以探讨诸如影像信号不均匀、仪器产生的空间与时间杂讯，以及射频接收线圈特性等现象。 |
| 6. | Linear interpolation on the side of the square window was introduced to make it convenient to calculate the extremum of the variance of the image intensity without losing the accuracy of the calculation of variance of the image intensity
为了便于对最后的灰度变化值求取极值，同时兼顾灰度变化值计算的准确性，采用了在方形窗边界上的线性插值。 |
| 7. | Mutual information algorithm use mutual information as a new matching criterion to measure the statistical dependence between the image intensities of corresponding pixels in both images , which is assumed to be maximal if the images are geometrically aligned
互信息法则把信息论中的互信息作为衡量两幅图象配准的相似性测度函数，假设当两幅图象配准时，互信息达到最大值。 |
| 8. | For practical opc applications , csplat is not suitable for intensity calculation on huge amount of sparse aerial points , hence a fast algorithm of sparse aerial image intensity calculation for lithography simulation is derived in this paper based on the theory of principal waves
但是在opc等应用中，为了寻找合适的掩模补偿图形，必须迭代计算大量的空间稀疏分布的试探点成像，用splat来处理这种稀疏空间点并不合适。 |
| 9. | This paperproposes a phase correlation based method for iris image registrationwith sub - pixel accuracy . compared with existing methods , it isinsensitive to image intensity and can compensate to a certain extentthe non - linear iris deformation caused by pupil movement . experimentalresults show that the proposed algorithm has an encouragingperformance
一般而言，在拍摄虹膜图像过程中，由于拍摄时间的不同或头部不可避免会轻微晃动，眨眼引起眼皮移动，眼睛随着光照强度变化的缩放特性等原因，不同时刻拍摄到的各帧虹膜图像之间不一定是一一对应的。 |
