进行图像黑白二值化处理也同样是采用的灰度阈值法。
The grayscale threshold method was used in the image binary progress.
为了保留目标的颜色信息，而又要将背景去除，采用灰度阈值法进行背景分割。
The grayscale threshold method was selected to background segmentation, which can reserve the color information of rice seed and remove its background.
介绍了灰度阈值和结构元素的选取方法，并提出了灰度阈值自适应获得的进一步研究方向。
Introducing the select methods of gradation threshold and structure element, and proposing the further direction in the research of self adapted obtaining of gradation threshold.
提出一种灰度阈值自动计算方法，适合于自动计算不同扫描分辨率下的图像的最佳灰度阈值。
A method is presented to calculate automatically the best gray threshold, which is suitable for images under different scanning resolutions.
在最大类间方差法和一致性准则法的基础上，运用最大熵原理来选择灰度阈值对图像进行分割。
Based on maximum between-cluster variance method and uniformity measure, this paper USES maximum entropy principle to select the gray-level threshold value for image segmentation.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
该算法通过灰度变化率设置阈值判别脉冲噪声点，并将脉冲噪声点信息记录到与图像对应的噪声记录数组中。
This algorithm set threshold to distinguish impulse noise point, through variance rate of gray level. The information of every impulse noise point is noted in a array.
通过这些稀疏的配准结果，可以估计出立体像对的最大最小视差以及灰度相关阈值等参数，用于稠密配准中。
The matching result can be used to estimate the maximum and minimum disparity, gray correlation threshold and some other parameters which play important roles in dense matching.
本文给出了一种利用图像灰度统计特征值为阈值的全局二值化方法。
This paper introduces a new whole binarization method by using image gray statistical characteristic value as threshold.
说明：MF C实现灰度图像的各种点运算，如图像反色，窗口变换，线性变换，阈值变换，灰度均衡等。
MFC to achieve a variety of gray-scale image point operations, such as anti-color images, the window transform, linear transformation, threshold transform, gray balance, etc.
普通的阈值选取方法只注重图像的灰度信息，而很少考虑图像的空间信息。
The common methods of threshold selection only use the gray information of images, not making good use of the space information.
目前纸病检测方法分为阈值法、形态学方法、灰度级统计法三类。
The test methods at present fall into three types: threshold method, morphological method and grey level statistics method.
通过局部图像增强的自动阈值选择等手段，解决视网膜血管图像与局部背景之间因灰度混同所造成的二值化困难；
It solves the difficulty in binarization due to gray level confusion between local background and image by automatic thresholding with local image enhancement.
为了提取局部感兴趣区域，给出了一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再结合迭代阈值算法进行病灶边界的磨合。
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.
传统的阈值化算法仅仅使用像素点的灰度级信息，因而要求图像中的目标和背景在灰度级上是可分的。
Therefore, when applying a thresholding algorithm to an image, we generally assume that the background and target in that image occupy different gray level zone.
提出了一种数码相机拍摄的文本图像的二值化方法，该方法是全局阈值、局部阈值与灰度梯度方法的结合。
A binarization method for digital camerabased document image was proposed. The method is a combination of the global thresholding, local thresholding and the gray gradient method.
以全局阈值为基础，用邻域平均灰度与全局阈值之差的加权值对其进行调整，从而形成一种新的动态阈值分割法。
Based on global threshold, a new dynamic thresholding approach is proposed which is adjusted with th weighting of the difference between neighbor average grey and global threshold.
它包括二维匹配滤波预处理以增强血管的灰度，以及用灰度-梯度共生矩阵的最大熵阈值化方法。
Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
本文提出了灰度图像的最佳阈值法分割算法。
In this paper, An algorithm of segmentation of intensity images is presented.
首先计算文本区域的灰度-梯度共生矩阵，并根据目标函数快速地找到分割的灰度和梯度最佳阈值；
The gray-gradient co-occurrence matrix of the text region is calculated, and the optimum thresholds of segmented grayscale and gradient are found quickly according to the objective function.
本文的方法把整个烟支图像分成小区域，在每一个区域中综合考虑最大熵和区域灰度均值来得到最优的阈值。
The improved algorithm divides the whole image into areas and selects the optimum threshold for each area according to the maximum entropy threshold and mean.
并通过计算机模拟，确定出该最佳阈值位于联合变换功率谱的平均灰度值附近。
That is, there exists an optimal threshold, which lies in the average gray of the joint transform power spectrum by computer simulation.
一维最小误差阈值法假设了目标和背景的灰度分布服从混合正态分布。
One-dimensional minimum error thresholding method assumed that the histogram distributions of object and background are governed by a mixture Gaussian distribution.
选定一定范围的灰度值作为可能的阈值，从中选出使待验章和样本章的笔划宽度相差最小时的阈值作为最佳阈值。
It selects a threshold from a certain range to regard as one threshold which is the best threshold just as it makes the difference of stroke width in testing and model seal image minimum.
本文通过灰度域带宽的自适应选取和阈值法区域合并的结合，提出对均值漂移图像分割算法的改进方案。
Through the combination of adaptive gray scale bandwidth and threshold-based region mergence, we proposed a novel modified scheme of mean shift algorithm.
采用动态阈值技术实现了对气泡图像的正确分割，利用灰度加权方法提高了气泡颗粒的定位精度。
The images of bubbles in flow were segmented by means of dynamic threshold technology and gray weighted method was used to improve the precision of locating the central positions of bubbles.
提出了一种基于像素灰度百分比的快速阈值分割算法，满足系统实时性的要求。
A fast threshold segmentation algorithm based on pixels grey-scale percentage was put forward to satisfy the real-time requirement of the system.
提出了一种基于灰度-梯度共生矩阵模型和最大熵原理的自动阈值化方法。
In this paper, an automatic approach for thresholding based on gray level gradient co occurrence matrix model and the maximum entropy principles is proposed.
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。
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。
The threshold methods of image segmentation are surveyed in this article, especially those based on the gray level histogram.
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