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图像化

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To represent the shape content of an image, the edge orientation autocorrelogram is used. To represent color features, local color cumulative histogram is computed, and to solve the problem of lacking the spatial knowledge of the histograms, we also extract the color moments of the partitions.

用边缘方向自相关图表示图像的形状内容;对于颜色特征,计算图像颜色的局部累加直方图,同时为了弥补其不包含颜色空间分布关系的缺点,又提取了分块的颜色矩,并利用高斯模型对各特征距离进行归一化,综合上述三个归一化距离,进行全局相似度量。

Features find, manage icons on your system, image-editing features such as effects, filters, rotation, cropping, as well as a huge color palette, easy-to-use editor that has all the functions for creating/editing ICO, ANI, CUR, GIF, JPEG, WMF, EMF, TGA, and WBMP files, image filters, including Blurring, Sharpening, Embossing, Diffusing, and Color Balance, image effects, including Linear Gradient, Radial Gradient, Rectangular Gradient, WAV, 3D Shadow, 3D Button, Text Gradient Effects, Noise, and Arbitrary Rotation, create icons with a preset sizes, use dynamic transparent colors, create cursors with free hotspots, create, view animated cursors, extract icon from any file or folder, paste images from clipboard, select Regions for Import from .bmp,.jpg,.gif, or .wmf images, Drag and Drop files for editing, unlimited undo and redo steps, support multi-language interface.

特点寻找,管理图标,您的系统,图像编辑等功能的影响,过滤器,旋转,剪裁,以及作为一个巨大的调色盘,易於使用的编辑器已全部职能,为创造/编辑保险公司条例,新华社,当前有GIF , JPEG ,有WMF ,电磁场,热重分析, wbmp文件,图像过滤,包括模糊,锐化,压花,扩散,色彩平衡,图像效果,包括线性梯度,径向梯度,梯度矩形, wav ,三维阴影,三维按钮,文本梯度效应,噪音,以及任意旋转,创建图标与预设的大小,使用动态透明的颜色,创建游标与免费的热点,创建,查看动画光标,提取图标从任何文件或文件夹,粘贴图像从剪贴板中,选择地区进口。

To this end, the ultrasound cardiograph is filtered and fuzzily boundary enhanced, a threshold is set to obtain a binary image, then the heart's boundary is got through ellipse curve fitting, cubic spline interpretation and smoothing.

首先对超声心动图像进行滤波以消除图像中的噪声,并运用模糊数学理论进行模糊边缘增强,提取超声心动图像的内外膜边缘信息;接著对超声心动图像作二值化处理和椭圆曲线拟合,初步得到心脏的内外膜边缘;再采用相应的三次样条插值和平滑技术,得到光滑、连续的心脏内外膜边缘。

Fuzzy image sharpening can make the image clear up and recover the contents of the original.

在数字图像的处理中,通过图像锐化可以使模糊的图像变得清晰起来,复原图像中原本模糊的内容。

Its research attracts many authors; therefore, the vehicle type recognition problem is studied. The main researches and results can be described as follows:(1) Vehicle image pretreatment: For the particularity of the vehicle image of this paper, the image pretreatment includes grey scale and background processing.

本文正是在这一背景下,对车型识别的两种算法和识别技术进行了研究,主要的研究工作包括以下几个方面:(1)车辆图像预处理:针对本文研究的车辆图像的特点,车辆图像预处理主要包括图像灰度化和去除背景两部分。

To solve the ill-posed problem of the super-resolution image regularization reconstruction, an energy function based on p harmonic mapping regularization and super-resolution image observed model was drawn.

针对超分辨率图像重建过程中的正则化约束问题,本文提出采用p调和映射进行正则化重建,根据超分辨率图像观察模型及正则约束,给出相应的能量泛函,并采用动态偏微分方程演化来求解能量泛函。

This paper proposed a new algorithm for eyes detection in the images. First, in a known face image, the homomorphic filter was used to enhance the contrast of the image and the iterative thresh choosing algorithm changed the gray images into binary ones. According to certain priori knowledge, it could get the candidate field of the eyes.

提出了一种新的图像中人眼检测算法,在一幅已知的人脸图像中首先采用同态滤波算法增强图像的对比度,然后利用迭代式阈值选择法对图像进行二值化处理,根据传统的先验知识获得眼睛的候选区域。

Finally three representative features are picked up, difference sum of the characteristic crack image projection in horizontal and vertical direction, as well as the pixel number of crack sub image.

基本思想是首先将二值化后的裂纹图像进行分块处理,得到一个特征裂纹图像,最后提取三个具有代表性的特征:特征图像在水平方向和垂直方向上的投影的差分累加和Ph,Pv以及裂纹子图像像素总数Num。

It is an important method to improve restoration quality by choosing regular parameter according to local feature of images. For example, the variance of pixel brightness in iterative process is a useful feature.

根据图像的局部特征来选取自适应变化的正则化参数是提高图像恢复质量的一个重要方法,可以根据像素在迭代过程中的亮度变化量大小来选取正则化参数。

This paper is focusing on the setup of non-contact automatic measurement for the end face of fiber connector by applying micrography and image processing technology.

介绍了一个基于显微成像和数字图像处理技术的非接触式光纤连接器端面自动检测系统:待测的光纤连接器固定于显微平台上,CCD接收显微物镜放大的图像并输入计算机中,然后由系统软件自动对图像进行对比度增强,二值化,平滑去噪,图像分割等处理,从而分析计算出纤芯、包层的各项几何参数。

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这两个团体间的分歧难以掩饰。

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