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。
Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image.
先得到指纹图像的连续方向图，再根据此方向图设计方向滤波模板进行滤波，最后得到指纹的二值化图像。
Firstly gain the continuously directional image of the fingerprint, secondly design orientation template using the directional image and filter the fingerprint image, lastly obtain the binary image.
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。
The preprocessing in an automatic fingerprint identification system usually includes five steps: normalization, directional graph computation, image segmentation, filtering and binarization.
预处理包括图纸扫描输入、图象二值化、图象平滑与去噪、线条细化和曲线跟踪。
The preprocessing steps include drawing scanning, binary image transforming, line thinning and cure tracing.
在图象处理算法中，应用图象全局二值化方法、字符“有效行”特征的提取和双BP神经网络，对手写体字符的识别取得了良好的效果。
With the way of binarization by globe threshold, the extracting mathod of "effective-rows" feature of handwriting numerals and recognition mathod of two parallel BP networks, good result is acquired.
基于块方向信息的指纹图像二值化方法，其效果主要取决于能否准确的估计指纹图像的块方向图。
The effect of the block directional-based binary method for fingerprint image is mainly determined by the estimate accuracy of the block direction.
然后建立去除复杂实际背景和自适应二值化的动态图象预处理模型，并根据矩法搜索和求取目标质心；
Secondly, Deleting background model and binarization model are established, and the mass center of object is searched and computed based on method of moment.
该方法避免了一些传统汉字特征提取方法需要对图象进行二值化操作而造成的汉字字符结构信息丢失。
As a result, the proposed method avoids the binary operation used in some traditional Chinese character feature extractions that will seriously destroy the Chinese character structure.
并根据金属图象分析要求，提出了先二值化金属图象再进行边缘提取的方法。
Furthermore, a new method of metal image edge detection was presented by binary image.
在方向图和脊线频率的基础上，实现了一种基于脊线方向分析的方法对指纹图象进行二值化；
We also improve on the binarization method of fingerprint images based on the 2nd derivative by the orientation and ridge frequency of the images.
在方向图和脊线频率的基础上，实现了基于二阶导数的指纹图像二值化算法；
We also improve on the binarization method of fingerprint images based on the 2~(nd) derivative by the orientation and ridge frequency of the images.
第一种方法采用动态门限检测指纹的隆线，直接给出二值化象图。
The first method adopts dynamic threshold to detect the threads of finger-print, and gives the bilevel image directly.
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。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
对滤波后的条纹图进一步采取二值化、骨架线提取、条纹级数标定、插值一系列操作，得到物体的三维相位信息。
After denoising, a series of operations, binarization, skeleton extraction, fringe order assignation and interpolation, were implemented and the three-dimension phase map was obtained.
该算法首先对输入图像进行小波变换，在对小波变换后的垂直方向上的高频分量图进行二值化及规则限制。
Firstly, the input image is decomposed using wavelet. Then sub-image which corresponds to high frequency in vertical direction is binarised. Finally, prior knowledge is used to locate the text region.
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。
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。
This paper presents an algorithm for threshold employing gray level arithmetic mean based on relevant conception in probability theory.
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