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NMF can find basis vector through observation data,and discover image feature,obtaining the fusion image.

介绍了非负矩阵分解的基本思想,讨论了非负矩阵分解用于图像融合的可能性,并实现了基于非负矩阵分解的遥感SAR图像与SPOT图像的融合,NMF能通过观测图像数据找到图像的基矩阵,发现图像的特征,从而最终获得融合图像

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 second algorithm uses ring projection to extract feature sequences in image templates, which overpasses the local area limit in tradition methods. While blending factors are gained from energy function that contains image gradient, which conquer the blur and mackle problems in the overlap area using tradition linear weight function. Thus we can gain pleasure visual effect using these two methods in image mosaics with notable illumination difference.

基于圆投影和能量函数优化的图像拼接算法则采用圆投影提取图像匹配模板的特征序列,克服了传统图像特征提取方法中的区域局限问题;对于图像融合,论文从图像能量角度出发,构造一个包含图像梯度的能量泛函,通过最小化该函数来求取图像重叠区域的全局最优融合因子,最终实现快速、准确地拼接图像

The image collecting parts mainly complete the conversion of the optics photograph to the image that can be treated by the computer. In this step, the pictures of teeth are shot by CCD and store in the compute at the aid of the video collecting cards. The image processing parts realize the geometric transformation, color adjusting, enhancement, measurement and some specially good effects of the collected images. And at the assist of the image processing, the more image information of dental images is exploited, so that the odontologist can diagnose more accurately.

牙科图像数字化主要完成从光学图像到计算机可处理图像的转换,为系统提供可操作的对象,其基本过程可描述为:通过CCD摄像镜头,对实物进行拍摄,由视频采集卡以信息流的形式对信号实时采集、捕捉,以帧的形式缓存,以静态的图像格式存储在计算机中;牙科图像处理部分不仅实现了图像的几何变换、色彩调整、图像增强以及一些特效,而且对牙齿病变部位进行测量,通过这些操作,能够获得更多的图像信息,提高了医生对病情诊断的科学性;牙科病例数据库部分能够浏览病人的基本信息及牙科图片,实现患者病历的添加、删除、修改等操作,建立患者牙科图像档案的图文数据库。

In this way,at the beginning,pretreating the image of pointsman's gesture from the colour vidicon which includes the colour image smoothing and intensifying.Then using the way of edge checking and image segmentation to divide the target image,due to the image is interfered badly by noise,Sobel operator is used.

该方法首先对彩色摄影机采集的交警手势图像进行预处理,包括彩色图像平滑、彩色图像增强;其次利用边缘检测和图像分割方法对目标图像进行分割,由于图像受噪声干扰严重,采用Sobel算子消除噪声;再次将分割得到的目标轮廓进行表示与描述,为图像的识别作好准备;最后结合图像的轮廓特征对图像进行识别,采用了模糊模式识别方法。

In this way, at the beginning, pretreating the image of pointsman's gesture from the colour vidicon which includes the colour image smoothing and intensifying Then using the way of edge checking and image segmentation to divide the target image, due to the image is interfered badly by noise, Sobel operator is used. Presenting and discribing the divided target profile to prepare the image identifying. Finally, identifying the image with the help of the picture' profile characteristic.

该方法首先对彩色摄影机采集的交警手势图像进行预处理,包括彩色图像平滑、彩色图像增强;其次利用边缘检测和图像分割方法对目标图像进行分割,由于图像受噪声干扰严重,采用Sobel算子消除噪声;再次将分割得到的目标轮廓进行表示与描述,为图像的识别作好准备;最后结合图像的轮廓特征对图像进行识别,采用了模糊模式识别方法。

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 digital speciemen image of adult Helicoverpa armigera Hubner was acquired using a digital camera in an image acquisition environment.Several methods of image enhancement were covered, including linear smoothing, median filtering, linear greylevel transformation, contrast stretching, image inversing and histogram equalization. Results demonstrated that these methods evidently enhanced the speciemen image of H.

digital image ;本研究以棉铃虫成虫标本作为数字图像源,设计了图像获取环境,以数码相机做为数字图像获取设备获得了棉铃虫成虫的数字图像,介绍了昆虫数字图像增强的方法,包括图像的线性平滑、中值滤波平滑、线性灰度变换、对比度拉伸、图像求反以及直方图均衡化等增强方法,证明这些方法对棉铃虫图像具有明显的增强作用。

The paper analyzes the electrical corona phenomena, its effect to high_voltage transmission system and present detecting technology. It puts forward a double spectrums imaging system based on spectrum characteristic of electrical corona. It is all-weather and independent of environment radialization and temperature effect. It responds fast and can work in move .Two light ways image for a scene respectively: one way is UV image ,the other is visible image. Then we use image registration and infusion synthetically to form a complex image .The theory and methods of image infusion is explained.

论文基于电晕放电的光谱特性,针对现有电晕放电检测手段的优缺点,提出了一种全天候、不受环境辐射和温度影响、响应速度快、可进行航拍的双光谱图像检测方法:两个光路分别对同一场景成像,一路是紫外图像,一路是可见光图像,综合利用图像配准与融合技术,形成合成图像,在合成的图像中保留每个传感器所获取的重要信息,图像里既有紫外光源,也有可见光背景图像

Based on joint several edge detection methods, the edge was detected from SAR image by using Haralick algorithm and general fuzzy operator algorithm, and then the detected edge was subtracted from SAR image, then Lee filter was used to filter the speckle image without edge, at last the edge was added to the filtered image.

常规滤波算法在滤除噪声的同时也带来了图像边缘模糊问题,利用多种检测图像边缘算法的有机组合,首先提取出图像边缘,然后将边缘从图像中剔除,对剩下的无边缘噪声图像用改进Lee滤波法进行噪声抑制,再把边缘图像加入,最后得到了能保持边缘的SAR图像相干斑滤除图像

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