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In order to effectively abstract the texture and denoise but not damage the edge and other important details of image, Meyer (2001) proposed using elements of BV space and G space to characterize cartoon and details of image respectively. The authors present PDE of minimizing energy on the basis of Meyer's work, After the model is discretizated. projection algorithm and the method for ROF model are applied. Thus an image is decomposed into two parts, bounded variation component u and texture with noise υ.

为有效地提取纹理和去噪而不损坏图像的边缘及其他重要细节,Meyer(2001)提出了分别用BV空间和G空间刻画图像的主体和细节部分,笔者在Meyer的图像分解模型基础上,建立能量最小化PDE方程,将模型离散化后,利用投影算法和ROF模型的求解方法,将图像分解为有界变差部分u和包含纹理和噪声的部分υ。

In this thesis, we will mainly do research on the novel scheme for Digital image Steganography, Digital Image Secret Transmission in network and the development of the information hiding device for application. The main contributions of this thesis are as following: The novel conversion method for mapping image to complex number is proposed, and the plus, minus, multiply and complex conjugate operation of image are defined based on Positional number systems and complex number system. Following new results have been gotten: 1 The suitable complex number basis to be used to express integers is a big set. 2 Any image can be mapping into a one-to-one point. 3 Lots of image processing problem can be considered based on geometric theory.

在本论文中,研究工作集中在数字图像伪装算法的新模型、图像在网络中的加密传输的新方案和信息伪装设备的研发等三个方面,主要包括:基于位值制记数法和复数系理论,提出利用复数作为基底的数字图像新的表示方法,用复数运算定义了图像和图像间的"加"、"减"、"乘"、"共轭"等运算关系;得到理论结果: 1、能表示任何整数的复数基是很大的一个集合。2、任何一幅图像,都能和复平面上的一个点一一对应。3、可以将图像问题化归为平面几何问题处理。4、复数系下的图像表示适合用于信息伪装。

The instrument software has the function of demonstration of basic knowledge of Digital Image Processing, i.e., it performs the functions of real-time collection and images saving, color change (brightness, binarization, RGB separation etc.), geometrical transform, edge detection (Robert arithmetic operator, Sobel arithmetic operator, Prewitt arithmetic operator, LOG arithmetic operator, Canny arithmetic operator etc.), gray-scale image enhancement (histogram equalization, averaging filtering, median filtering), and binary mathematical morphology management (erosion, dilation, opening, closing, objects marking, Euler number calculation).

该测试仪的软件部分包含数字图像处理课程所涉及的一些基础知识的演示,具体包括图像的实时采集与保存、颜色变换(灰度化、二值化、R、G、B颜色分量的分离等)、几何变换、边缘检测(Robert、Sobel、Prewitt、LOG、Canny)、灰度图像增强(直方图均衡化、均值滤波、中值滤波等)、二值图像操作(腐蚀、膨胀、开启、闭合、对象标注、欧拉数计算)等功能。

In order to effectively Abstract the texture and denoise but not damage the edge and other important details of image,Meyer(2001) proposed using elements of BV space and G space to characterize cartoon and details of image respectively.The authors present PDE of minimizing energy on the basis of Meyer s work.

为有效地提取纹理和去噪而不损坏图像的边缘及其他重要细节,Meyer(2001)提出了分别用BV空间和G空间刻画图像的主体和细节部分,笔者在Meyer的图像分解模型基础上,建立能量最小化PDE方程,将模型离散化后,利用投影算法和ROF模型的求解方法,将图像分解为有界变差部分u和包含纹理和噪声的部分v。

It includes hardware equipments and foundational theory of the image digitization. This paper expatiates on some digital image processing technologies that the inspecting system may apply to the research and analysis of the collected glass-crack image. Using neighborhood average method and median filter retrains the image noises and make the image edge smooth. Then protract the histogram of the gray image, get the threshold of this image, utilize the threshold method and gray-level slice method to get a binary image, and detect the image edge. Finally calculate the area and perimeter of the glass-crack image, and use the circularity to judge whether this image is a glass-crack image.

本文重点阐述了研究和开发这套玻璃瓶裂纹检测系统所应用到的一些数字图像处理技术,并应用这些技术和方法对采集的裂纹图像进行了处理和分析:应用邻域平均法和中值滤波法来抑制图像的噪声,使图像的边缘平滑;然后绘制出处理过图像的灰度直方图,得到该幅裂纹图像的阈值,利用阈值法和灰度级切片法对裂纹图像进行二值化处理,得到其二值图像,并对图像进行了边缘检测;最后计算出裂纹图像的面积和周长,利用圆形度指标来判断该图像是否为裂纹图像。

There are three main methods in face localization: localization according to face outline, localization according to complexion and localization according to templates constructed by some standard sample images. As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. While extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes: binary, sharpen, smooth, projection, calculating gradient and so on. In order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, K-L transformation.

在人脸检测部分,目前存在的方法有利用人脸的几何轮廓进行检测、利用人脸的肤色信息进行检测、构造标准人脸模板进行匹配检测等等;在人脸特征提取部分,可以用一些图像处理的方法如投影、二值化、求梯度图像等提取人脸中各特征器官如眼睛、鼻子、嘴巴等的几何特征,另外也可以借助于数学变换,求取人脸图像的一些代数特征,如对图像进行奇异值分解,以奇异值代表图象的特征,或对图像进行K-L变换,以图像在构造的特征空间上的投影系数作为图像的特征等;在识别部分,可以通过距离度量或相似度来判断输入图像与样本图像的匹配程度,还可以通过神经网络方法进行人脸的识别。

The selected image salient features are used to compute geometric transformation parameter of watermarked images. After recovering the size and aspect of watermarked images, the watermark detector is synchronized with embedded watermark. Thus the watermark detector can detect the watermark.

利用提取的图像固有特征点估计水印化图像几何变换参数,恢复经几何变换的水印化图像,同步水印检测器与图像中嵌入的水印信号,使水印检测有效检测嵌入的水印信号。

A new system design based on the conception of SOC is also given. Processing and tracking algorithms. Put forward some IR image algorithms by analyzing the characteristics of IR image such as: low contrast、ununiformity、wide gray dynamic range.

在红外图像处理算法方面,分析了焦平面红外图像具有的低信噪比、宽图像动态范围及图像非均匀性等特性,结合实际硬件条件,提出了直方图归一化、去冗余灰度均衡、受限空域锐化、多帧平均等处理算法,在实际应用中取得良好效果。

First, pretreating the images, including gray the RGB image、 linearity transform to gray image, and make to gray image to black and white images, and bring forward the method of combine the quality of projection gray scale and property of license plate, distill the license plate .

先对图像进行了预处理,包括RGB图像的灰度化、灰度图像的线性变换、灰度图像的二值化等,然后提出了基于投影灰度特征和车牌先验知识相结合的方法提取出车牌,不论在实时性还是在准确率上都满足要求。

First, pretreating the images, including gray the RGB image、linearity transform to gray image、and make to gray image to black and white images, and bring forward the method of combine the quality of projection gray scale and property of license plate, distill the license plate .It is satisfy the demand in speed and veracity.

先对图像进行了预处理,包括RGB图像的灰度化、灰度图像的线性变换、灰度图像的二值化等,然后提出了基于投影灰度特征和车牌先验知识相结合的方法提取出车牌,不论在实时性还是在准确率上都满足要求。

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