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- gray level scrambling 灰度置乱
- The main features of the system are piecewise linear gray level transformation, slope angle adjustment, mapping and normalization, feature distilling. 本系统主要特征是分段线性灰度变换、斜度调整、射归一、征提取。
- This method has advantages of being easy to realize and high color sensitivity for gray level. 该方法和已有方法相比,具有容易实现、颜色对灰度等级分割的灵敏度高、实时效果好的特点。
- The Gray Level Co-occurrence Matrix (GLCM) has been proved to be a promising method for image texture analysis. 图像的灰度共生矩阵(GLCM)已知被理论证明并且实验显示它在纹理分析中是一个很好的方法;广泛用于将灰度值转化为纹理信息.
- In the pre-pressed DTP system, image-input, line-screen level, gray level and image-output are all concerned with the scanning resolution. 在彩色桌面印前系统中，图像扫描输入、加网线数、灰度等级和照排机输出都与扫描分辨率有关。
- The simulation indicates that this scheme reduces the DFC in SMPDP dramatically.To solve the problem of the poor gray level of S... 采用多帧图像的叠加显示和误差扩散方法,很好地解决图像灰度级不足的问题,从而提高荫罩式等离子体显示器的图像质量。
- This algorithm doesn't need to meet the request of "constant gray level of the image", and reduces the tracking accumulative error. 该算法不仅不要求满足“图像灰度一致性”，而且有效地减少了跟踪的累积误差。
- The images of spores under microscope were captured by area-scan CCD camera,and the gray level images were then transferred into binary images by adjusting threshold. 利用面阵CCD摄像机采集显微镜中孢子的图像,通过灰度直方图确定初始阈值,再用二次定值法确定最终阈值,将灰度图像转换成二值图像。
- The proposed method firstly detects correspondences based on gray level edge feature so that the focal lens can be counted based on correspondences uniqueness. 该方法首先使用基于灰度边缘特征点的图像匹配来获得匹配坐标,并由匹配坐标唯一性计算焦距;
- We used colour images of whitefly as samples,studied and discussed isolated point and unrelated small areas after performing gray level process and binary process. 本文以白粉虱的彩色图像为样本，对其进行了灰度及二值化处理。对处理过程中产生的孤立点和无关小区域的处理和删除进行了研究和探讨。
- The algorithm takes the pixel's location and gray level as the initial condition, and the parameters and iteration number as the keys, and then is applied to encrypt the image. 该算法将图像的像素坐标和灰度值作为广义猫映射的初始值，映射参数和迭代次数作为密钥，应用到图像加密中。
- The color feature (R/B ratio) is calculated based on RGB color model, and the texture features (contrast and correlation) are calculated by gray level co-occurrence matrix (GLCM). 颜色特征的计算基于RGB色彩模型, 纹理特征的计算基于灰度共生矩阵。
- During the corner feature match operation, the initial matching points are determined by region gray level correlation calculation with removing mean value normalization method. 在角点特征匹配过程中，利用去均值归一化相关法进行区域灰度相关运算，从而确定出初始匹配点对。
- This paper presents an algorithm which directly computes the direction image on the gray level images.Experimental results show that it is feasible for fingerprint processing. 该文介绍了一种直接利用指纹灰度信息进行指纹图像方向图计算的方法,实验结果表明,它是行之有效的。
- A Gaussian kernel adaptive smooth filter is proposed, on the basis of which a scheme is designed to extract information of targets according to the feature that the gray level of point targets and the edge of regional targets are high and vary greatly. 文中提出了高斯核自适应平滑滤波,并在此基础上依据点目标和面目标的边缘灰度值高及变化大的特点设计出提取方法,然后用区域增长恢复没有被提取出来的面目标的内部。
- This preserves the gray levels in the image and is useful for coloring monochrome images and for tinting color images. 这样可以保留图像中的灰阶，并且对于给单色图像上色和给彩色图像着色都会非常有用。
- First, the candidate femur regions from B\|ultrasonic wave images according to the shape and gray level information are segmented. Secondly, the femur regions are defined by their neighbouring regions. 首先利用灰度、形状信息从B超图像中分割出股骨的候选区域 ,根据候选区域周围组织确定股骨区域。
- Researched the reason why PV interpolation may lead to wrong registration, and suggested to reduce gray levels to avoid the problem. 研究了pv 插值法导致错误配准的原因,提出了通过调整灰度级数来避免。
- Compared with some known method to calculate geomertric moments for gray level image,which shows that our algorithm can reduce computational complexity significantly in mose cases. 文中给出了实验结果,和其它灰度图像求矩算法相比,文中算法在大多数情形下都极大地降低了计算复杂度。
- In order to mimic analog halftoning techniques, clustered-dot ordered dithering or Amplitude Modulated (AM) halftoning produces this illusion by varying the size of printed dots according to the gray level of an original continuous image. 传统的调幅加网(又称聚集点有序抖动加网)通过改变网点的大小来表现灰度级,对于低分辨率的打印机而言,其设备输出分辨率与再现图像层次的矛盾尤为突出。
