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[Special Effects] plateloc DL : 0: 车牌定位使用说明使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。 -positioning plates for use when used to break pic examples directory of images, and then click the button "turn", "1", "2", "3" and "4" and "5", can achieve precise positioning of the plates. Concrete steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc - (Tc-Gmin) / 3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The
Date : 2008-10-13 Size : 711.84kb User : 发过
[Special Effects] 车牌定位 DL : 0: 车牌定位系统是进行车牌自动识别的重要一部分能正确的获得整个图象的车牌部分具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j= Pi,j-Pi,j-1 i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-plates is positioning system for automatic vehicle identification can be an important part of the right of access to the entire image plates some of the specific steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc - (Tc-Gmin) / 3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The images do simple B adjacent pixel value is reduced, the new images to be G, Gi, j = Pi, j - Pi, j-1
Date : 2008-10-13 Size : 1.43mb User : 潘文
[Special Effects] 车牌定位 DL : 0: 车牌定位系统是进行车牌自动识别的重要一部分能正确的获得整个图象的车牌部分具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j= Pi,j-Pi,j-1 i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-plates is positioning system for automatic vehicle identification can be an important part of the right of access to the entire image plates some of the specific steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc- (Tc-Gmin)/3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The images do simple B adjacent pixel value is reduced, the new images to be G, Gi, j = Pi, j- Pi, j-1
Date : 2025-12-23 Size : 1.43mb User : 潘文
[Special Effects] plateloc DL : 0: 车牌定位使用说明使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。 -positioning plates for use when used to break pic examples directory of images, and then click the button "turn", "1", "2", "3" and "4" and "5", can achieve precise positioning of the plates. Concrete steps 1.24 true color-gt; 256-color grayscale. 2. Pretreatment : median filter. 3. Binary : an initial threshold value T A pair of images for two to be two binary images B value. T initial threshold value to determine the method is : Select threshold T = Tc- (Tc-Gmin)/3, respectively Gmin saturated and is the highest and the lowest gray value. The threshold values for different licenses are certain adaptability, to ensure that basic background was home to 0, to highlight regional licenses. 4. Weakened background interference. The
Date : 2025-12-23 Size : 1.08mb User : 发过
[Special Effects] openSNR DL : 0: 一种超分辨率处理测试程序。用于测试超分辨率算法的效率。打开一幅图像，选择降质，之后清晰的图像会变为多幅模糊图像。选择算法重建后模糊图像会经过处理变清晰。与原始图像比较后的效能参数将显示在右边。-A super-resolution to deal with test procedures. For testing the efficiency of super-resolution algorithm. Open an image, select the lower quality, clear image after the number will be reduced to a blurred image. Selection Algorithm for reconstruction after the blurred image will be processed clearly changed. After comparing the original image and the performance parameters will be displayed on the right.
Date : 2025-12-23 Size : 7.49mb User : Justin Y
[Special Effects] imageprocessing1 DL : 1: 实验内容： 1．求下列3个模板的频率响应，并显示其三维图形；选择一幅图像，利用这3个模板分别对该图像进行卷积运算，将卷积运算获得的图像与原始图像进行比较，说明各模板的类型以及模板（b）、（c）的区别与联系。 2. 选择一幅图像，对其进行离散Fourier变换，仅利用其相位谱重构原图像，然后仅利用其振幅谱重构原图像，比较实验结果；选择两幅不同类型的图像，分别进行Fourier变换，交换二者的相位谱后求Fourier反变换，比较实验结果，说明图像Fourier相位谱的重要性。-Experimental contents: 1. Template for the following three frequency response and to show its three-dimensional graphics select an image using the three templates, respectively, of the image convolution operation, the convolution operation to obtain the images were compared with the original image to illustrate the template the type of template (b), (c) the difference with the contact. 2. Select an image, its discrete Fourier transform, only to use its phase spectrum remodeling the original image, and then only the use of its amplitude spectrum reconstruction of the original image to compare experimental results choice of two different types of images, respectively Fourier Transform, the exchange between the two after the phase spectrum for Fourier Transform, compare experimental results to illustrate the image of the importance of Fourier phase spectrum.
Date : 2025-12-23 Size : 1kb User : syq
[Special Effects] sanjut DL : 0: 对两幅灰度图像a,b的对应像素a(i,j)与b(i,j)进行算数运算（加、减、乘、除、乘方），结果存入c(i,j)。用户可以在五种运算中选择。-Two gray-scale images of a, b of the corresponding pixel a (i, j) and b (i, j) to carry out arithmetic (add, subtract, multiply, divide, involution), results into c (i, j) . Users can select five kinds of computing.
Date : 2025-12-23 Size : 40kb User : 刘镇
[Special Effects] Thumbnailresize DL : 0: 代码运行在vs2005环境下，C++语言实现，功能是选择图片文件夹加载图片，界面上可查看缩略图点击图片缩略图可放大选中的图片。同时可以任意修改图片的大小并保存。-Under the code running in vs2005, C++ language, function is to select a picture folder load the image, the interface to view thumbnail Click image thumbnail to enlarge the selected image. At the same time the size of the image can be modified and saved.
Date : 2025-12-23 Size : 3.32mb User : 胡艳萍
[Special Effects] M-graph-coloring-problem DL : 0: 通过鼠标绘制出该图的结构（可在菜单中设置打点和画线两种命令：当选择打点命令是，鼠标每点击一下则在屏幕上打一个点，当选择画线命令时，鼠标首先选中其中一个点，在选中另一个点时绘制出两个点之间的连线。当然也可采用其他方法完成图的绘制）。然后用不同的颜色来标识这些点，使得图中每条边连接的2个顶点着不同的颜色。在屏幕上应能显示出用不同颜色着色后的图。-Through the mouse to draw out the structure of the graph (which can be set in the menu are two RBI and drawing a line command: When you select RBI command that every click you mouse on the screen make a point, when selecting drawing a line command, the mouse first election in one point, another point is selected to draw the line between two points. of course, other methods can be used to complete mapping.) Then use different colors to identify these points so that every edge connected graph 2 vertices with different colors. On the screen should be able to display colored with different colors after the map.
Date : 2025-12-23 Size : 3.62mb User : 陈言教
[Special Effects] WaterMark DL : 0: c写的图像水印处理程序，可以选择目标文件和水印文件-c written image watermarking program, you can select the target file and watermark files
Date : 2025-12-23 Size : 1.03mb User : shitouyu
[Special Effects] chepaichuli DL : 0: 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。 -Open this example use the directory pic in the picture, then click the button "turn", "1", "2", "3", "4" and "5", you can achieve precise positioning plate. Concrete steps 1.24 True Color-> 256-color greyscale. 2. Preconditioning: median filter. 3. Binarization: an initial threshold T with the image binarization by A binary image B. Determine the initial threshold T, is: Select the threshold value T = Gmax-(Gmax-Gmin)/3, Gmax and Gmin are the maximum and minimum gray value. The threshold for a certain adaptability of different licenses, to ensure that the basic background is set to 0, to highlight the license area. 4. Weaken the background interference. B to do a simple image gray value of adjacent pixels subtracted to get a new image G, the Gi, j = | Pi, j-Pi, j-1 | i = 0,1, ..., 439 j = 0 , 1, ..., 639Gi, 0 = Pi, 0, the left edge of the direct assignment will not affect the overall results. 5. With a custom template for the median filter
Date : 2025-12-23 Size : 2.6mb User : 吴双
[Special Effects] energypick DL : 0: 本程序实现功能： 1、微机、IBM工作站segy格式文件的a)变面积、b)波形、c)波形加变面积显示； 2、AGC自动均衡显示； 3、用任意多边形选择剖面数据并提取归一化能量、修改选取数据。 -This program function: 1, microcomputer, IBM workstations segy format file of a) become area, b) waveform, c) waveform and become area shows 2, AGC automatic equilibrium display 3, with arbitrary polygon choose profile and extracted data normalization energy, modify, select data.
Date : 2025-12-23 Size : 1.8mb User : zhaozm
[Special Effects] chepaidingwei DL : 0: 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。该阈值对不同牌照有一定的适应性,能够保证背景基本被置为0,以突出牌照区域。 4.削弱背景干扰。对图像B做简单的相邻像素灰度值相减,得到新的图像G,即Gi,j=|Pi,j-Pi,j-1|i=0,1,…,439 j=0,1,…,639Gi,0=Pi,0,左边缘直接赋值,不会影响整体效果。 5.用自定义模板进行中值滤波区域灰度基本被赋值为0。考虑到文字是由许多短竖线组成,而背景噪声有一大部分是孤立噪声,用模板(1,1,1,1,1)T对G进行中值滤波,能够得到除掉了大部分干扰的图像C。 6.牌照搜索:利用水平投影法检测车牌水平位置,利用垂直投影法检测车牌垂直位置。 7.区域裁剪,截取车牌图像。-Use the open directory examples the image in the PIC, which in turn click button "turn", "1", "2", "3" and "4" and "5", can achieve precise license plate location. Specific steps 1.24 a true color-> 256 color gray image. 2. Pretreatment: median filter. 3. Binary: with an initial threshold value of the image on A T binary get binary image B. The initial threshold value method to determine the T is: select threshold T = Gmax-(Gmax-Gmin)/3, Gmax and Gmin respectively is the maximum and minimum gray values. The threshold for different licence have certain adaptability, can guarantee that background basic is set to 0, to highlight licence area. 4. Weaken the background interference. Image B do simple adjacent pixels XiangJian grey value, get the new image G, namely Gi, j = | Pi, j-Pi, j-1 | I = 0, 1,... , 439 J = 0, 1,..., 639 Gi, 0 = Pi, 0, the left edge direct assignment, and will not affect the overall effect. 5. Use custom templates by median filter
Date : 2025-12-23 Size : 1.43mb User : 老昌
[Special Effects] svtkExtracctVOIf DL : 0: 本程序是有关Visual C++与vtk相结合的情况下，三维重建的效果，中增加的对感兴趣区域的选取功能，也就是说在三维重建体绘制情况下，自己选取感兴趣区域-This program is a Visual C vtk combination of circumstances, the effect of three-dimensional reconstruction, the increase in the region of interest selection function, which means that in the case of three-dimensional reconstruction volume rendering, select a region of interest
Date : 2025-12-23 Size : 970kb User : 召唤
[Special Effects] RELEASEimagestitch1 DL : 0: VC6.0下的256色图像配准源程序，可以直接在VC6.0下运行，配准图像结果保存为c:\a.bmp，注意需要在配准之前选取三个特征点，便于识别。。。具体可参考源程序，内附示例lina图像，lina_a.bmp,lina_b.bmp是原始配准图像。特征点选取越好，则效果越好-The VC6.0 256 color image registration source, can be run directly in VC6.0 registration image save the results for the c: \ a.bmp, attention to the need to select the three feature points before registration for easy identification. . . Specific reference source, included sample lina image, lina_a.bmp, lina_b.bmp original image registration. Feature points are selected as possible, the better. . .
Date : 2025-12-23 Size : 3.89mb User : 徐博华
[Special Effects] ImagevcProc DL : 0: 一种基于C++的自适应阀值选取的方法，对于图像分割非常有用。-An adaptive threshold based on C++, select the method is very useful for image segmentation
Date : 2025-12-23 Size : 44kb User : fliers
[Special Effects] edge-detection DL : 0: 用c++写的一个关于图像的边缘检测的程序，可以更改滤波器的系数以及选择模版的大小。-With c++ write an image edge detection program, you can change the coefficients of the filter and select the size of the template.
Date : 2025-12-23 Size : 2.64mb User : 李朝龙
[Special Effects] OTSU_BMPtoBIN DL : 0: 大律法(OTSU)灰度图像阈值提取算法（C语言实现）。文件中已经有已经编译好的可执行文件，可以批量把灰度图片转化成二值化的二进制图像文件，可用于LCD显示屏视频动画的开发（例如Badapple）。阀值是图像二值化处理中非常重要的一个参数，意思就是：如果灰度图像的像素颜色值大于该阀值就把该点当作黑色，小于该阀值就把改点当作白色。最简单的做法就是把阀值取为127（255的一半），但是这种做法是不科学的，处理后的二值化图像效果也很不理想。关于阀值的选取是一门很深的学问，有很多经典的算法用于选取该阀值，理论我就不做过多描述了，感兴趣的自己趣网络上搜索相关资料，我这里采用的是比较经典的大律法(OTSU)。-Large law (OTSU) threshold grayscale image extraction algorithm (C language). File has been compiled executable file, you can bulk of the gray image is converted to binary binary image file that can be used for the LCD display video animation development (for example Badapple). Image binarization threshold is a very important process parameters, means: If the pixel color values gray image is larger than the threshold to put the point as a black, less than the threshold put the change point as white. The easiest way is to take the threshold of 127 (255 in half), but this approach is unscientific, binary image post-processing effects also far ideal. Select on the threshold of a very deep knowledge, there are many classical algorithms for selecting the threshold theory I do not do too much description, and search for relevant information of interest to their own interest on the network, I used here It is more classic big law (OTSU).
Date : 2025-12-23 Size : 395kb User : WHJWNAVY
[Special Effects] C#_ScaleImages DL : 0: 使用C#语言，在程序界面选择任意图片进行图像缩放。(Using C# language to select any image to zoom in on the program interface.)
Date : 2025-12-23 Size : 176kb User : 遗忘离殇