Description: 由MyIE发展而来的浏览器，有热键,搜集器,鼠标手势,鼠标拖曳,弹出窗口过滤,搜索引擎,网页背景色设置,工具条皮肤,代理服务器,自动滚动,自动保存,自动填表,启动模式...
-development by the engine from the browser, a hotkey, collecting device, mouse gestures, drag the mouse, pop-up filter, search engines, web background color settings, tools of the skin, proxy server, automatic scrolling, auto-save, automatic form, initiated model .. . Platform: |
Size: 509290 |
Author:muwa |
Hits:
Description: 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 Platform: |
Size: 728921 |
Author:发过 |
Hits:
Description: 改变文字颜色和背景色可以得到不同的效果。文字颜色修改，只要修改filter:glow(color=red,strength=2) 中的color项,strength为颜色的深度值 。-change the text color and background color can be different results. Text color changes, as long as the changes filter : glow (color = red, strength = 2) in color, the color of strength to depth. Platform: |
Size: 910 |
Author:黄滨杰 |
Hits:
Description: 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 Platform: |
Size: 1497227 |
Author:潘文 |
Hits:
Description: 车牌定位 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 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 images do sim Platform: |
Size: 734555 |
Author:何问宇 |
Hits:
Description: 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 Platform: |
Size: 1497088 |
Author:潘文 |
Hits:
Description: 车牌定位 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 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 images do sim Platform: |
Size: 734208 |
Author:何问宇 |
Hits:
Description: 由MyIE发展而来的浏览器，有热键,搜集器,鼠标手势,鼠标拖曳,弹出窗口过滤,搜索引擎,网页背景色设置,工具条皮肤,代理服务器,自动滚动,自动保存,自动填表,启动模式...
-development by the engine from the browser, a hotkey, collecting device, mouse gestures, drag the mouse, pop-up filter, search engines, web background color settings, tools of the skin, proxy server, automatic scrolling, auto-save, automatic form, initiated model .. . Platform: |
Size: 508928 |
Author:muwa |
Hits:
Description: 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 Platform: |
Size: 1134592 |
Author:发过 |
Hits:
Description: 改变文字颜色和背景色可以得到不同的效果。文字颜色修改，只要修改filter:glow(color=red,strength=2) 中的color项,strength为颜色的深度值 。-change the text color and background color can be different results. Text color changes, as long as the changes filter : glow (color = red, strength = 2) in color, the color of strength to depth. Platform: |
Size: 1024 |
Author:黄滨杰 |
Hits:
Description: 这是一个具有批量把图象数据写入数据库,相册创建,管理功能的图象处理程序.他具有图象放大,缩小,区域选取,颜色拾取,还有一个象photoshop一样可以切换的前景色背景色选取区域.更有图象调整功能,如亮度,对比度,gama,高亮度,中间色,阴影.还有很多滤镜效果.
-This is a batch image data written into the database, album creation, management functions of image processing procedures. He has the image to enlarge, narrow, regional selection, picking colors, there is a like photoshop can switch the Foreground background colors selected region. more image adjustment features such as brightness, contrast, gama, high-brightness, intermediate color and shadow. There are many filter effects. Platform: |
Size: 2786304 |
Author:梁思验 |
Hits:
Description: Ka lman 滤波的人体运动位置跟踪算法。基于视频的人体运动跟踪是当前计算机视觉研究的热点, 具有广泛的应用领域. 文中提出
一种基于Kalman 滤波的跟踪算法. 合理使用自适应背景颜色模型, 能够准确地对人体运动位置进
行跟踪-Ka lman human filtering algorithm to track the location of sports. Video-based human motion tracking is the current research on computer vision, with a wide range of applications. This paper presents a Kalman filter-based tracking algorithm. The rational use of adaptive background color model, the human body be able to accurately track the location of sports Platform: |
Size: 232448 |
Author:谭园芳 |
Hits:
Description: 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。
-Help
Example use this directory to open pic in the picture, and then click the button "switch", "1", "2", "3", "4" and "5", you can achieve precise positioning of the plate.
Concrete steps
1.24 True Color-> 256 color grayscale.
2. Preconditioning: median filter.
3. Binarization: with an initial threshold T for the image binarization A binary image to be B.
The initial determination of the threshold T is: to choose the threshold T = Gmax-(Gmax-Gmin)/3, Gmax and Gmin are the highest, lowest gray value.
The thresholds for different licenses have a certain adaptability, to ensure that the basic background to be home for 0, in order to highlight the regional licenses.
4. Weaken the background interference. B to do a simple image of the adjacent pixels by gray values, a new image G, that is, 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. Used in custom template filte Platform: |
Size: 2739200 |
Author:曹晓峰 |
Hits:
Description: 就可以实现精确的车牌定位
真彩色->256色灰度图。
.预处理:中值滤波。
二值化
削弱背景干扰。
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:
区域裁剪,截取车牌图像-The license plate on the positioning accuracy can be achieved
True Color- "256-color grayscale.
. Preconditioning: Median filter.
Binarization
Weaken the background interference.
With a custom template median filter
Regional gray basically been assigned to 0. Taking into account the text is composed of many short vertical line, while a large part of the background noise is isolated noise, using the template (1,1,1,1,1) T of G for median filter, can be got rid of most of the interfere with the image C.
6. License Search:
Regional cropping, interception of license plate image Platform: |
Size: 2741248 |
Author:qszchew |
Hits:
Description: 复杂背景下车牌定位与字符分割算法研究
本文在简要介绍国内外车牌识别技术研究现状的基础上，对车牌定位算法及字符分
割算法进行了深入的研究，主要完成以下工作：
车牌的定位算法设计阶段，本文提出了一种综合利用车牌多重特征的定位算法。该
算法充分利用了车牌的纹理，色彩及车牌长宽比等特征。经过水平梯度化，二值化，滤
波，区域连通、连通域标记筛选，色彩匹配等几个步骤，最终达到了复杂背景下汽车牌
照的定位。-Complex background license plate location and character segmentation algorithm of this paper, a brief introduction to license plate recognition technology at home and abroad on the basis of the status quo, on the license plate location and character segmentation algorithm is conducted in-depth study was completed for the following: license plates location algorithm design stage, this paper, a comprehensive utilization of multiple characteristics of license plate location algorithm. The algorithm makes full use of the license plate texture, color and license plate aspect ratio and other features. After level gradient, binarization, filtering, regional connectivity, connected component labeling filter, color matching, and several steps, ultimately achieving the complex background Locating the vehicle license. Platform: |
Size: 1760256 |
Author:zhangchunli |
Hits:
Description: 边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including blocks of color lines color the background picture, the first of its low-pass filter for a color blocks and lines produced lower quality images fuzzy edges to be processed, using any two edge detection algorithm to detect when processing in the image blocks of color and line the edge of the two values are the result of the treatment plan. Extracted from the results map the boundary blocks of color and line coordinates, the original image and the actual generated coordinate data used to compare the true, and on the detection of error for analysis. 2. Take a test to be included black and white or color photographs of objects, try using a edge detection algorithm on automatic extraction of objects to be detected, the results generated for analysis. Platform: |
Size: 661504 |
Author:tosh |
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Description: RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为-In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed (e.g., green=control, red=sample, yellow=both).
In this case study, MATLAB, the Image Processing and Signal Processing toolboxes were used to determine the green intensities from a small portion of a microarray image containing 4,800 spots. A 10x10 pattern of spots was detected by averaging rows and columns to produce horizontal and vertical profiles. Periodicity was determined automatically by autocorrelation and used to form an optimal length filter for morphological background removal. A rectangular grid of bounding boxes was defined. Each spot was individually addressed and segmented by thresholding to form a mask. The mask was used to isolate each spot from surrounding background. Individu Platform: |
Size: 4450304 |
Author:Tu Shu |
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Description: recognition hands by color threshold in HSV space and in a simple background then tracking them by using Kalman filtter Platform: |
Size: 2048 |
Author:mehrnoosh |
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Description: 本文主要介绍颜色识别技术及颜色识别装置的设计和实现过程。文章首先介绍了颜色识别技术的产生背景、发展趋势和应用范围；其次讨论了三基色和H阈值的基本理论；在此基础上说明了三种颜色识别方法及颜色识别装置的设计方案。然后介绍了设计中用到的主要器件颜色传感器TCS230和单片机AT89C51及其基于颜色传感器TCS230和AT89C51的颜色识别的应用电路。本文对颜色识别单元和数码显示单元进行了说明。最后文章对整个硬件设计和软件流程进行了详细的说明。本装置利用需要测量的颜色光源进行照射，由颜色传感器转换为脉冲信号。脉冲信号经单片机采集、处理、判别，颜色信息最后由四位数码管显示出颜色信息。-This paper mainly introduces the design and realization of the color identification and color recognition device. The article first introduces color identification technology background, trends and applications Followed by discussion of the three primary colors, and H of the basic theory of threshold Introduce the identification methods of the color this basis color recognition device design. Introduced the application TCS230 color sensor circuit and AT89C51 which is used in the design and the circuit based on TCS230 and AT89C51. In this paper, color recognition module and digital display unit are described. The article introduces hardware and software design process detailed.The stability of the device using white light source for irradiation, form color filter light through the replacement of different colors, pulse forming by the color sensor. Single-chip pulse signal acquisition, processing, identification, color, last four digits the color information display.
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Size: 6999040 |
Author:许龙军 |
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Search - color filter background