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The main researches about Chinese character recognition of vehicle license plate and its corresponding technique in this paper are as follows:(1) The pre-processing for image is essential before character recognition. This paper firstly uses the experience knowledge to give a roughly orientation,then set a carefully orientation based on Otsu arithmetic,finally get the whole clear license plate.In order to solve the problem of character extraction,the fly-back method is put forward:the experience knowledge is made the best of.(2) An algorithm of feature extraction from grayscale image based on optimization Gabor filters is proposed.

本文针对车牌汉字识别及相关技术进行研究,主要工作包括:(1)在对车牌汉字进行识别前需要进行必要的预处理工作,我们首先运用车牌的先验知识进行粗定位,然后采用Otsu阈值二值化方法等进行快速鲁棒的车牌区域细定位,获得完整、清晰的车牌轮廓,并采用回扫式字符切割方法,充分利用了车牌字符固有的特点准确找到各个字符的分割点,为特征提取奠定了基础;(2)提出一种优化的Gabor滤波器特征提取算法直接对灰度图像进行特征提取。

Considering the characteristics of the continuous process, analyzing the evaluation function, we provide a developing computation formulator of rough information entropy.

根据粗糙决策规则具有局部性的问题,采用具备全局搜索能力的遗传算法,结合EMRS方法,提出GAEMRS方法,将局部粗糙规则全局化。

Contents : Chapter 4 Image Enhancement (contrast enhancement, gray transform, histogram dressing, image smoothing, sharpening, Pseudo-color and false color enhancement); Chapter 5 of Image Restoration (inverse filter rehabilitation, Wiener filtering method); Chapter 6 of image processing orthogonal transformation Fourier transform, discrete cosine transform (DCT, the Walsh transform, Based on the eigenvectors of transformation, Hotelling transform, SVD transform, wavelet transform, Mallat algorithm; Chapter 7 Image Coding Hoffman (Huffman coding, arithmetic coding, RIc, the bit-plane coding, predictive coding, DPCM.

内容:第4章图像增强(对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强);第5章图像复原(逆滤波复原、维纳滤波方法);第6章图像处理中的正交变换(傅立叶变换、离散余弦变换、沃尔什变换、基于特征向量的变换、霍特林变换、SVD变换、小波变换、Mallat算法);第7章图像压缩编码(霍夫曼编码、算术编码、游程编码、位平面编码、预测编码、DPCM、JPEG 2000编码

The procedure estimating the regularization parameter is the same as that the adaptive Marquardt algorithm used. The Frechet derivative is directly derived from the forward methods: SAM and FEM. With the theory of SAM and Zhang′s geometric factor, the relationship between the Frechet derivative and the geometric factor is established, at the same time, one useful corollary is given, i.

选取正则化因子时,沿用自适应的Marquardt算法中阻尼因子的选取计算方法;计算Frechet导数时,根据逐次逼近解法和张氏几何因子理论,推导出了Frechet导数与张氏几何因子的关系,得出了Frechet导数为张氏一阶积分几何因子的结论。

This paper uses Tikhonov regulation method to solve the first kind Fredholm integral equation which gets the solution of the inverse problem in time,and based on the advantage of the genetic algorithms presents a ex- ample of inverse problem.

利用Tikhonov 正则化方法解第一类Fredholm积分方程获得该逆时反问题的解,并结合遗传算法的优点给出了一种反演的例子。

From the point of data fusion,a new fusion scheme is proposed.This new method band edge detection based on wavelet and the normalized correlation moment together.

从数据融合的角度,提出了一种有效的融合算法,该方法将基于小波变换的图像边缘检测与归一化相关矩相结合并应用于图像的融合中。

To reduce the executing time of complete Gaussian pivoting elimination, it is parallelized in a manner combined multi-thread and multi-process, and improved at the same time.

为减少Gauss全主元消法的运行时间,用多进程与多线程混合的方式对其进行了并行化,同时对该算法进行了改进。

In Chapter 6, based on discretization technique an implementable algorithm for nonconvex generalized semi-infinite minimax problems is presented and, utilizing properties of generalized quasi-directional derivative, its global convergence is proven under weak conditions.

对于广义极大极小问题,本文第六章在较弱的条件下,利用广义伪方向导数的性质,用离散化的技巧给出了非凸广义半无限极大极小问题的一种可实现的全局收敛算法。

Geodesic active contour model is one of models for the tracking of moving objects.

快速Level Set初始化算法研究:测地线主动轮廓模型是运动目标轮廓跟踪的主要模型之一。

The result can be widely applied to many aspects of product design systems,such as parametric design by geometric reason-ing,decomposition of complex design tasks and dependency analysis of design parameters.

该方法在产品设计中有广泛的应用,利用这个模型和算法可较好地解决参数化设计中的几何推理问题,还可用作概念设计的工具,用于完成复杂系统设计任务的划分及定序、设计变量之间相互依赖关系分析等工作。

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