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[
OpenCV
]
Patch_Sparsity
DL : 0
算法仿真:论文《Image Inpaiting by Patch Propagation Using Patch Sparsity》中提出的图像修复算法的; 1)使用了OpenCV2.2.0开源机器视觉库,IDE为VS2010 2)设置系统环境变量OPENCV_DIR为OpenCV的安装路径,如C:\OpenCV2.2;VS2010属性页文件依赖于此环境变量,在Path中添加C:\OpenCV2.2\bin,更具体的环境配置可以查看OpenCV相关手册设置属性页文件或Email:zhenjia.dou@gmail.com 3)编译后为dll,导出函数可以查看文件Patch_Sparsity.h -The algorithms proposed in the paper《Image Inpaiting by Patch Propagation Using Patch Sparsity》
Date
: 2025-12-16
Size
: 15kb
User
:
[
OpenCV
]
Classic_Exemplar
DL : 0
论文《Region Filling and Object Removal by Exemplar-Based Image Inpainting》中提出的图像修复算法 1)使用了OpenCV2.2.0和VS2010,设置系统环境变量OPENCV_DIR为OpenCV的安装路径,如C:\OpenCV2.2,在path中添加环境变量C:\OpenCV2.2\bin,可以根据OpenCV提供的用户手册设置属性页文件 2)生产dll,具体的函数可以查看文件Classic_Exemplar.h 3)如有问题请联系zhenjia.dou@gmail.com-The algorithms proposed in 《Region Filling and Object Removal by Exemplar-Based Image Inpainting》
Date
: 2025-12-16
Size
: 12kb
User
:
[
OpenCV
]
MRF_Based
DL : 0
,论文《Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning》中提出的图像修复算法 1)使用了OpenCV2.2.0和VS2010,设置系统观景变量OPENCV_DIR为OpenCV的安装路径,如C:\OpenCV2.2,在path中添加环境变量C:\OpenCV2.2\bin 2)生产dll,具体的函数可以查看文件MRF_Based.h 3)如有问题请联系zhenjia.dou@gmail.com-The algorithms proposed in the papar<Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning>
Date
: 2025-12-16
Size
: 15kb
User
:
[
OpenCV
]
TrainLamp2013
DL : 0
1) PC软件系统架构:摄像机+USB图像采集卡+PC电脑+RS485模块 2) 嵌入式系统架构: 摄像机+嵌入式系统平台 3) 火车速度<=40KM/H 4) 实现轨道左侧的信号灯颜色检测,红,白,蓝三色 5) PC软件接收RS485的信号进行相应的显示并通过485发送当前信号灯颜色 6) 嵌入式系统接收RS485的信号进行相应的显示并通过485发送当前信号灯颜色 7) 测试环境:雨、雾、冰雪等天气的白天和夜晚环境下 目前在PC上进行了初步的算法实验,演示视频见优酷(http://v.youku.com/v_show/id_XNTA3MzQ5ODA0.html)。大概的思路:首先检测出列出的2根轨道,得到大概的检测区域。并再用视频处理算法识别、跟踪信号灯。希望大家给些建议,使用哪种算法可以更好的跟踪信号灯。 -1) PC software system architecture: camera+USB image acquisition card+PC the computer+RS485 module 2) embedded system architectures: camera the+ embedded system platform 3) train speed < = 40KM/H 4) track lights on the left side of the color detection, red , white, and blue color 5) PC software receives the the RS485 signal corresponding display by 485 to send the current signal light colors) embedded system receives the RS485 signals corresponding display and signal light colors 7) by 485 to send the current test environment: weather such as rain, fog, snow and ice during the day and night environment on a PC preliminary experiments the algorithm, see demo video Youku (http://v.youku.com/v_show/id_XNTA3MzQ5ODA0.html). Approximate idea: first detected listed in the two tracks, and probably the detection region. And then the video processing algorithms to identify, track semaphores. We hope we can give some advice, which algorithm can better track the signal lights.
Date
: 2025-12-16
Size
: 5.4mb
User
:
changhaixinxi
[
OpenCV
]
onling_tracker
DL : 0
采用在线学习跟踪方式,对物体进行跟踪,代码用c++编写,库用的Opencv库,程序中包括了3个.h,3个.cpp,一个.main程序。-We have added two new state-of-the-art object tracking algorithms to OpenCV which can robustly track images patches across a video sequence and learn online (i.e., on-the-fly) as the appearance of the object changes from frame-to-frame. The input to these trackers is simply an image and an initial bounding box,defining the first location and dimensions of the image patch to be tracked. On each subsequent frame, an updated bounding box is returned with the new location of the object. For these algorithms, the size of the box never changes—whatever is given for width and height in the first frame is used throughout the sequence. Therefore if the object gets much larger or smaller, although it still may keep track, it may not encompass the object as tightly as the first frame.
Date
: 2025-12-16
Size
: 15.75mb
User
:
liyulong
[
OpenCV
]
RGB__HSV
DL : 0
//将三通道图像 分解成3个单通道图像,H对应的通道时0,S、V对应的通道时1和2 //cvCvtPixToPlane(picHSV, h_plane, s_plane, v_plane, 0) -//the three-channel image is decomposed into 3 single channel image, the corresponding channel 0 H, S, V is the corresponding channel 1 and 2 //cvCvtPixToPlane (picHSV, h_plane s_plane, v_plane, 0).
Date
: 2025-12-16
Size
: 1kb
User
:
李哲弘
[
OpenCV
]
h
DL : 0
(1)从D盘的某个文件夹中读取一副彩色图像, (2)把它转化为灰度图像 (3)在灰度图像中找到灰度值最大点 (4)把灰度图像存到E盘的某个文件夹中 (5)把灰度值最大点的灰度值显示出来,并把该灰度值存到E盘的另一个文件夹的txt文件中。-(1) is sandwiched a pair of color image read a file the D drive, (2) to convert it to grayscale (3) to find the maximum point in the gray grayscale image (4) The gray scale image saved to a folder on the E drive in (5) The maximum value of the gray dot gray scale values are displayed, and to keep the gray value to txt file another document E disk folder.
Date
: 2025-12-16
Size
: 11.5mb
User
:
胡辣辣
[
OpenCV
]
PLDFI262
DL : 0
利用函数MadHG生成规则LDPC码的校验矩阵H,其行重为6,列重为3(Rules of LDPC codes generated by function MadHG check matrix H, the adults is 6, column 3)
Date
: 2025-12-16
Size
: 3kb
User
:
OHQD@70629
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