In this thesis, we: Study a high-dynamic image registration algorithm (MTB algorithm) based on the rapid bit operation of computing binarization image.
本论文中：研究了基于位操作运算的快速二值化的高动态图像配准算法(MTB算法)。
Binarization image segmentation techniques are widely applied because their realization is easy and fast. In this paper, a binarization image segmentation method is proposed based on region feature.
二值化图像侵害方法因方法简单、易于实现而得到广泛应用，文章提出了一种基于区域特征的二值化图像分割方法。
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.
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。
As the image binarization can be done quickly and with high accuracy, this method is suitable for places where images are processed at a high speed.
该方法对图像进行二值化处理，速度快、精度高，适用于对速度要求较高的图像处理场合。
The preprocessing in an automatic fingerprint identification system usually includes five steps: normalization, directional graph computation, image segmentation, filtering and binarization.
指纹预处理一般包括规格化、方向图计算、图像分割、滤波、二值化等环节，该文系统地讨论了各环节的有效算法。
In this system, after binarization and nonlinear filtering of range image with DSP, the object region is obtained by connecting area searching.
系统用DSP对距离图像进行二值化和非线性滤波处理后，通过连通域搜索提取出目标区域。
Fingerprint image binarization, as one key step of fingerprint image preprocessing, is the precondition of fingerprint image thinning.
指纹图像二值化是指纹细化处理的前提，是指纹识别预处理的一个重要部分。
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.
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。
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。
In preprocessing of fingerprint image, four sides are discussed, including outline segmentation, filtering enhancement, segmentation binarization and thinning.
指纹图像预处理的研究包含四个方面：图像分割、图像增强、二值化和细化。
MFC gray-scale image processing, including open display, filtering, binarization, histogram, geometric transformations, etc.
说明：MFC灰度图像处理，包括打开显示，滤波，二值化，直方图，几何变换等。
It solves the difficulty in binarization due to gray level confusion between local background and image by automatic thresholding with local image enhancement.
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；
Thisinethod performs adaptive image binarization in real-time with the characteristics of fast, good result, simple and low coat, It is suitable for real-time image processing.
这种方法实现了实时自适应图像二值化，并具有二值化速度快、效果好、电路简单、成本低廉的特点，适用于实时图像处理。
The binarization of seam image are studied and an adaptive threshold adjusting method are worked out.
对焊缝图像的二值化进行了研究，并提出了一种自适应的阈值分割方法；
Secondly, the color segmentation of image using multi-channel and the binarization of image is implemented and the traffic signs which may be adhered are divided.
其次，对图像进行多通道融合的颜色分割并对分割后的图像进行二值化处理，并分割可能粘连的交通标志。
Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image.
指纹图像的预处理又可以分为灰度图滤波去噪、二值化、二值化图像去噪、细化和细化后去噪五个部分。
First, do some preprocessor which include image enhancement, binarization and slant correction.
首先，对车牌图像进行预处理，主要包括图像增强、二值化和倾斜矫正。
The optimal effect of binarization arithmetics is the maximum variance between various classifications. Core fissure image is acquired from core splitting surface images by the use of this method.
最大类间方差法的二值化算法是基于类间方差达到最大为准则，采用该法获得了理想的二值化效果，较准确地从岩心剖面中提取出裂缝图像信息。
Preprocessing finishes the prophase job to make it easier to do the following recognizing work, which includes binarization, smoothness and refinement such image standardization operations.
预处理完成的是前期工作，对获取的待识别图像进行二值化、平滑、细化等图像规范化操作使得更易进行下步的识别操作。
The system implements television advertisements monitoring in the way of pattern recognition together with image capturing and image binarization technologies.
该系统结合图像采集、二值化预处理等技术，以图像模式识别的方式实现对电视广告的监播。
Image preprocessing is usually consisted of following steps: quality assessment, mean filtering, gray normalization, gray equalization, the Oriental filtering, binarization as well as thinning.
指纹预处理一般包括以下几个步骤：图像质量评估、均值滤波、灰度归一化、灰度均衡化、方向滤波、二值化以及细线化。
The clear edge of the binary result by improving the morphologic edge enhancement method is got. The results show that it is a valid and practical image binarization method.
通过对自适应形态学边缘增强方法的改进，使得二值化结果有效地保留了红外图像的边界特征，是一种有效、实用的图像二值化方法。
An image fusion binarization method based on Selforganization Feature Map (SOFM) neural network is presented.
提出了一种基于自组织特征映射(SOFM)神经网络的图像融合二值化方法。
Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
利用最大类间方差法（OTSU）求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。
We compare local self-adaptive way with the fixed value in binarization, and use mathematical morphology method to thin image.
在二值化中采用局部自适应方法与传统的固定阀值方法作比较，细化中运用了数学形态学的方法，对指纹图像进行细化。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
重点研究图像的预处理增强算法和二值化算法，根据指纹图像的方向性信息求出方向图，并利用方向滤波器对原图像进行滤波去噪。
The thesis discusses the image pretreatment methods of image grayness, grayness transform, image smoothness, image sharpness and image binarization;
论文深入研究了图像灰度处理、图像灰度变换、图像平滑、图像锐化、图像二值化等图像预处理方法。
This paper analyse the image enhancement, the binarization, the noise abatement, the thinning, the normalization and the feature extraction on the handwritten digit recognition.
本文首先对手写数字图像的图像灰度化、二值化、去噪、细化、归一化、特征提取等预处理过程进行分析；
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。
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。
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