1) two-dimension histogram transformation
二维直方图变换
2) histogram transformation
直方图变换
1.
Histogram transformation was researched.
本文采用直方图变换图象处理技术,对猪肉新鲜度过程进行检测。
2.
Then,image whose histogram possesses one mode or two modes with great disparity was difficult to be segmented using thresholding by index of fuzziness were studied,a histogram transformation method was presented.
针对目前图像模糊阈值分割法存在窗口宽度自动选取困难的问题,首先在预先给定隶属函数和图像像素类别数的情况下,提出了图像模糊阈值分割法的自适应窗宽选取方法;然后,针对用图像模糊阈值分割方法难于分割直方图具有单峰或双峰差别很大的图像的问题,提出了一种直方图变换方法,用来对直方图进行变换;最后根据变换后的直方图,再利用自适应模糊阈值分割法对植物黑腐病病斑图像进行分割。
3) two-dimensional histogram
二维直方图
1.
Thresholding using two-dimensional histogram and watershed algorithm in the luggage inspection system;
基于分水线算法的二维直方图阈值化分割在箱包DR-CT检测系统中的应用
2.
In the experiments,we employ a weighted two-dimensional histogram WFCM algorithm to improve the image segmentation effect,since it takes account of spatial relation.
实验利用了加权二维直方图的WFCM算法,考虑像素间的空间信息,改善了图像分割效果。
3.
Aimed at the problem that traditional fuzzy entropy thresholding method based on one dimensional histogram is sensitive to the noise,a novel maximum fuzzy entropy thresholding method based on two-dimensional histogram is presented.
针对基于一维直方图的传统模糊熵算法对噪声敏感的问题,提出了一种新的基于二维直方图的最大模糊熵图像分割算法。
4) 2-D histogram
二维直方图
1.
Image threshold segmentation method based on an improved 2-D histogram;
一种改进的二维直方图的图像阈值分割方法
2.
To realize automatic segmentation and build a 2-D histogram using 2-D entropy,traditional methods research the central gray value and mean value of pixels in the same neighbor.
建立二维直方图并借助二维熵可以自动确定图像分割的阈值。
5) 2D histogram
二维直方图
1.
Image segmentation of mean shift based on improved 2D histogram
一种改进的二维直方图均值漂移分割算法
2.
This paper studies the application of fuzzy c-means(FCM) clustering algorithm in the image segmentation,and a fast image segmentation method is presented based on a 2D histogram weighting FCM algorithm.
提出一种基于二维直方图加权的模糊c均值图像快速分割算法。
3.
A two phased thresholding method is proposed which combines the wavelet transform (WT) with the traditional 2D histogram based thresholding method.
该方法首先对二维直方图进行小波分解，得其低频分量，然后在此低频分量上确定出门限矢量的范围，最后在此范围内确定出精确的门限矢量。
6) two dimensional histogram
二维直方图
1.
A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.
提出了基于二维直方图分析的二元子图微光图像增强处理算法 。
2.
To remedy this problem, a new method for color segmentation based on two dimensional histogram is prosented, which can be used to accurately segment and merge colors for color images in some CAD systems.
对此，本文提出了基于二维直方图的颜色分割新方法，实现了一些ＣＡＤ系统图像颜色的准确分割和归并。
补充资料：Radon变换和逆Radon变换
Radon变换和逆Radon变换
X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于，它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积，即体素的线性衰减系数两维空间分布的可能性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条