A method is presented to calculate automatically the best gray threshold, which is suitable for images under different scanning resolutions.
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。
In this paper, the method for the optimal gray threshold is given, which is based on the maximum class separation distance criterion of pattern recognitive decision theory.
利用基于模式识别决策理论的最大类间距准则，给出了求解最佳分割灰度门限的方法。
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.
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。
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.
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。
This paper introduces a new whole binarization method by using image gray statistical characteristic value as threshold.
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。
The common methods of threshold selection only use the gray information of images, not making good use of the space information.
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。
That is, there exists an optimal threshold, which lies in the average gray of the joint transform power spectrum by computer simulation.
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。
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.
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。
Gray image about skin probability is processed by threshold. According to the color of skin, image containing faces is segmented, and the binary image can be got based on skin-color.
本文将改进的微粒群算法应用于人脸检测的预处理中，对皮肤概率灰度图像进行阈值化处理，依据肤色分割人脸图像，得到基于肤色的二值图像。
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.
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。
An approach for color image gray processing based on threshold of gray scale statistic mean value and global standard deviation of each color component is presented.
给出了一种基于图像各彩色分量灰度统计特征期望值和全局标准差作为阈值的彩色图像灰度化方法。
At first, the image background is suppressed by setting a threshold. Then, both gray density and gray interval of the histogram are equalized.
该算法首先通过设置平台阈值对背景的增强进行抑制，然后将直方图在灰度密度和灰度间距两个方向进行均衡处理。
Through the combination of adaptive gray scale bandwidth and threshold-based region mergence, we proposed a novel modified scheme of mean shift algorithm.
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。
An infrared image processing solution is proposed. It USES bi-threshold method to segment image and enhance the image with segmentation gray scale transform method.
针对红外图像，采用双门限分割法进行图像分割，然后采用分段灰度变换法进行图像增强。
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.
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。
This paper presents an algorithm for threshold employing gray level arithmetic mean based on relevant conception in probability theory.
给出了一种基于图象灰度分布统计特征期望值为阈值的二值化方法。
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。
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.
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。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
For less than the threshold gray value directly set pixel gray value of 0 gray value greater than the threshold value is set to 255 pixels directly.
对于灰度值小于阈值的象素直接设置灰度值为0；灰度值大于阈值的象素直接设置为255。
The original gray level image was changed into the macroscopical drawing information by pre-processing, threshold selection, image bivalency, edge detection and contour extraction and segmentation.
对原始数字图像实施预处理、二值化、轮廓提取及细化等处理后，将图像信息转变成宏观图形信息。
The contrast of the image was enhanced by gray expanding and the key threshold of the binarization algorithm was determined based on the dynamical threshold method.
通过灰度拉伸增强图像对比度，通过二值化处理实现图像中背景和对象的分割。
The measuring of simultaneous contrast resolution limits (threshold) of human mesopic vision suggests that they would change when different colors or different gray background.
对人眼同时对比度分辨率限制(阈值)的测定表明，在中间视觉条件下其值随背景灰度及颜色的变化而改变。
Non-texture images usually have simple content, and can be properly segmented by gray level threshold.
根据所适用的分割算法的不同，我们将林林总总的图像简单的分为纹理图像和非纹理图像。
The methods of image processing included gray transformation, threshold segmentation, logic calculation, spatial filter and so on. They were all analyzed in great detail.
论文对所用到的图像预处理的方法都进行了详细的分析，并给出了它们的算法框图或部分源代码，也对比了各种方法处理前后的效果。
The methods of image processing included gray transformation, threshold segmentation, logic calculation, spatial filter and so on. They were all analyzed in great detail.
论文对所用到的图像预处理的方法都进行了详细的分析，并给出了它们的算法框图或部分源代码，也对比了各种方法处理前后的效果。
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