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1)  statistical characteristics of grey-scale histograms
灰度直方图统计特征
2)  histogram statistical features
直方图统计特征
3)  Grey statistics characteristics
灰度统计特征
4)  gradation histogram
灰度直方图
1.
By using the image processing function and programming tomography,the following functions are realized: the contour line,edge line and gradation histogram of medical images are displayed;the selected regions of medical images are freely zoomed;the gray level of discretional regions is displayed using medical image processing tool and the distance of the given points is freely measured.
0图像处理函数和编程技巧,可展示医学图像的轮廓线、内部组织的边缘线和灰度直方图,对图像选定区域进行自由放大和缩小,利用图像处理工具显示任意区域的灰度值,并能自如测量两点间的距离,可以对图像分割技术中的不同方式进行灵活对比,为临床诊断提供有用的参考。
5)  gray level histogram
灰度直方图
1.
This paper simulates the image s gray level histogram with a series of Gaussian functions, and calculates the optimal thresholds between different neighboring Gaussian functions, and then separates the needed area from the whole image.
以图像分割为基础,采用自适应旋转投影分解法,用一组高斯函数来拟合图像的灰度直方图,计算出相邻高斯函数间的最优阈值,从而将待计算部分从图像中分割出来;采用数字图像分割方法,便于计算各种复杂形状的面积。
2.
In this paper, adaptive oriented orthogonal projective decomposition is used to decompose the gray level histogram of image with complex background into the combination of several Gauss density functions.
文中使用了自适应定向正交投影分解算法将复杂图像的直方图分解为多个高斯分布的组合,进而将灰度区间划分为多个子区间并计算出灰度直方图在这些子区间上的面积,而目标在图像中的成像面积是可以预先作出估计的,从而利用两者之间的关系给出分割图像的阈值,实现对图像的分割。
3.
The threshold methods of image segmentation are surveyed in this article, especially those based on the gray level histogram.
本文对现有的各种图像阈值分割方法进行综述,重点介绍了基于图像灰度直方图的阈值分割方法。
6)  gray histogram
灰度直方图
1.
Extraction and analysis of mineral information in gray histogram of sinter ore mineragraphy;
烧结矿矿相灰度直方图中矿物信息的提取与分析
2.
Superposition principle of gray histograms in video analysis
视频分析中灰度直方图的叠加原理研究
3.
Methods : The gray histogram of the image was drawn,and then the threshold was found.
方法首先绘出要分割图像的灰度直方图;根据直方图选出适当的阈值;最后利用所选定的阈值对图像进行分割。
补充资料:分布和特征量统计(见统计分析)


分布和特征量统计(见统计分析)


  fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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