Small noises and holes often remain in the binary images of moving object detection, which can affect the analysis and track of moving object.
在运动物体检测后的二值图像中，经常会存在细小噪声和内部空洞，不利于运动对象后期的分析和跟踪。
This paper proposes a novel steganalysis algorithm based on pattern analysis for binary text images.
提出了一种基于模式分析的二值文本图像隐写分析算法。
The original pictures were converted into binary images, and fractal analysis was performed with the box-counting dimension.
随后采用数字图像处理的方法，将原图像转换为二值图，并使用计盒维数的方法对图像进行了分形分析。
Main connected components analysis is to make full use of gradient binary images of characters, that is not easy of cross and spacing abnormal in the connected domain, to remove blue pseudo-plates.
主连通域分析的方法是充分利用梯度二值图中的字符连通域不易出现交叉、间距异常等特征来去除蓝色伪车牌的。
Firstly, the color image is coarsely segmented into several binary images, which is accomplished based on the analysis of the histogram of the H component of the HSI color model.
根据归一化后的彩色图像的色度彩色分量直方图将图像粗分割成若干幅二值图像；
Firstly, the color image is coarsely segmented into several binary images, which is accomplished based on the analysis of the histogram of the H component of the HSI color model.
根据归一化后的彩色图像的色度彩色分量直方图将图像粗分割成若干幅二值图像；
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