在二值边缘图像中应用双窗口分别选定目标和要去除的噪声，在各窗口中采用双向扫描提取目标特征。
Choose the target and the noise that will be removed in two Windows, then extract target with dual-direction scan in each window.
实验结果表明该算法克服了光照不均和噪声对灰度文本图像二值化的影响，得到了较理想的二值图像。
The experiment results show that with the algorithm, the influence of uneven light and noise on the binarization of gray character images has been overcome and an excellent binary image is obtained.
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。
Small noises and holes often remain in the binary images of moving object detection, which can affect the analysis and track of moving object.
车牌识别中的预处理包括图像增强，二值化和噪声去除。
The preprocessing algorithm for License Plate Recognition(LPR) includes image enhancement, binary conversion and noise reduction.
此方法加入了动态核的思想，使之在对含有随机噪声的二值图像的联想记忆中仍能得到正确的联想记忆结果。
In this method, which is added with dynamic kernel, can be applied flexibly to recognize the image with random noise.
接下来使用细化模板对二值化图像进行细化，并针对细化图中各种噪声的拓扑结构将它们一一滤除。
After thinning, we get rid of the noises from the acquired skeleton image according to their configuration.
针对文字扫描操作，给出了这种安全范式在二值图像上的具体实现方法：利用扫描过程中测量噪声的不确定性来携带信息。
A scheme to realize this secure paradigm in binary images using scanning operation is proposed and a more efficient practical method is also presented based on morphological theory.
实验结果表明，此方法二值化效果好，对于有噪声干扰、非均匀光照的牌照图像有良好的适应性。
It has been proved that the result of the binarization is well, and has good adaptability to the license plate picture with noise interfering and nonuniform illumination.
采用自适应门限进行阈值分割，得到二值化的图像；利用聚类的方法去掉噪声点。
Binaryzation image is obtained through adaptive threshold segmentation and noise is removed by sorting method.
其次，利用形态学运算，对已除去噪声的二值SAR图像进行边缘提取，并对边缘图像进行形态学区域开运算，以去除较小的区域。
Secondly, the binary SAR image is processed by using morphological operations to extract edges of the object and remove smaller areas. Then lines are extracted by Hough transform.
文本图像二值化、噪声消除和倾斜校正处理在文本图像预处中起着重要的作用，其处理的效果会影响到后期的文本图像处理和识别。
Binarization of documnent image plays an important role in preprocessing documnent image, the result of which will affect subsequent processing and identification.
文本图像二值化、噪声消除和倾斜校正处理在文本图像预处中起着重要的作用，其处理的效果会影响到后期的文本图像处理和识别。
Binarization of documnent image plays an important role in preprocessing documnent image, the result of which will affect subsequent processing and identification.
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