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[Graph program] opencv两个常见的编译错误

Description:

在利用opencv库进行编程中两个常见的问题的解决方法，十分有效！

以openCV的使用为例,并结合个实验经验,总结一下在使用其它库进行编程时VC环境下编译与链接时经常遇到的两个错误的解决办法.

1.编译错误

问题描述:编译时,出现编译如下编译错误:

fatal error C1083: Cannot open include file: 'cv.h': No such file or directory

意思是找不到语句 #include "cv.h" 的cv.h头文件.

解决办法:在工程环境下,Tools->Options->Directories,在页内Show directories for下拉列表框中选择 Include files,然后在Directories列表框中添加上cv.h的路径,
如:D:\OPENCV\CV\INCLUDE,再编译就能找到cv.h头文件了.

2.链接错误

问题描述:链接时出现如下错误:

Linking...

test.obj : error LNK2001: unresolved external symbol _cvCanny

Debug/cvtest.exe : fatal error LNK1120: 1 unresolved externals

解决办法:明明知道cvCanny函数(_cvCanny是纯C编译生成的目标文件的函数名)的原型说明在文件cv.h中,怎么又出现链接错误呢,可能是静态链接库的问题(可能还有其它的原因),
然后有两各解决办法:(1).通过project->Add to project->Files, 将cv.lib加到工程中(2).①Tools->Options->Directories,Show directories for下拉列表框中
选择 Library files,然后在Directories列表框中添加上cv.lib的路径,如:D:\OPENCV\LIB ② project->settings下的LINK属性页下,在Object/Library modules 的文本框中
加上 cv.lib 后,点击确定.此时链接通过.

 

仅为个人的实验经验,有可能不全面或错误.
 


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[Special Effects] MyShow_Canny

Description: directshow获取视频图像，opencv处理，cvcanny提取轮廓-directshow，opencv,cvcanny，
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[Multimedia Develop] cvcanny.cpp.tar

Description: Canny Algorithm for edge detection in images.
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[DSP program] volume13

Description: 将opencv移植到dsp上，源程序用CCS打开，实现了cvcanny算法-Opencv transplanted to the dsp on the open source program with CCS achieved cvcanny algorithm
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[Windows Develop] canny

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Description: 一个自己编的小型图像综合处理，主要是3个函数cvCanny、cvSmooth、cvDilate和cvErode四个函数，基于MFC编写的。对初学者学习OpenCV更加方便。-A series of small images their comprehensive treatment, mainly three functions cvCanny, cvSmooth, cvDilate and cvErode four functions, based on MFC prepared. OpenCV easier for beginners to learn.
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[Special Effects] canny

Description: IplImage* src=cvLoadImage("lena.jpg") IplImage* dst = cvCreateImage( cvGetSize(src), 8, 1 ) IplImage* color_dst = cvCreateImage( cvGetSize(src), 8, 3 ) CvMemStorage* storage = cvCreateMemStorage(0) //存储检测到线段，当然可以是N*1的矩阵数列，如果实际的直线数量多余N，那么最大可能数目的线段被返回 -CvSeq* lines = 0 int i IplImage* src1=cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1) cvCvtColor(src, src1, CV_BGR2GRAY) //把src转换成灰度图像保存在src1中，注意进行边缘检测一定要换成灰度图 cvCanny( src1, dst, 50, 200, 3 ) //参数，的灰度变换 cvCvtColor( dst, color_dst, CV_GRAY2BGR ) #if 1
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[Special Effects] cvThreshold_cvCanny

Description: open cv 邊緣化 用Canny作邊緣化處理 cvCanny, void cvCanny( const CvArr* image, CvArr* edges, double threshold1, double threshold2, int aperture_size=3 ) image 單通道輸入圖像. edges 單通道存儲邊緣的輸出圖像 threshold1 第一個閾值 threshold2 第二個閾值 aperture_size Sobel 運算元內核大小 (見 cvSobel). -open cv for marginalized marginalized deal with the Canny cvCanny, void cvCanny (const CvArr* image, CvArr* edges, double threshold1, double threshold2, int aperture_size = 3) image single input image. edges stored in the edge of the output channel Image threshold1 first threshold threshold2 second operand threshold aperture_size Sobel kernel size (see cvSobel).
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[OpenCV] webcam

Description: open cv 用wemcam读取作灰阶，二值，边缘化cvThreshold，cvCvtColorcv，DestroyWindow ，cvCanny值,最大门槛值数值,CV_THRESH_BINARY) open cv 用wemcam讀取作灰階，二值，邊緣化 cvThreshold，cvCvtColorcv，DestroyWindow ，cvCanny-open cv for Gray read by wemcam, binary, marginalization cvThreshold, cvCvtColorcv, DestroyWindow, cvCanny
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[OpenCV] Basic-MFC_CVCanny

Description: 基于MFC的CVCanny实现，用的是OPENCV-MFC-based CVCanny achieved using OPENCV
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[Special Effects] cvCanny

Description: opencv vc++ 编写的图像边缘检测-opencv image canny
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[Console] CvCanny

Description: OpenCV的Canny算法程序，本人测试通过-OpenCV Canny algorithm program, I tested
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[Other] Corners

Description: 首先，请检查/样品在你的OpenCV的分布/ C/ squares.c的。这个例子提供了一个方形的检测，如何检测角落类似的功能，它应该是一个不错的开始。然后，一起来看看在OpenCV的功能，导向功能，如cvCornerHarris（）和cvGoodFeaturesToTrack（）。 上述方法可以返回许多角落类似的功能 - 最不会“真正的角落”你正在寻找。在我的应用程序，我只好检测，旋转或倾斜的广场（透视）。我的检测流水线包括： 从RGB转换为灰度级（cvCvtColor） 平滑（cvSmooth） 阈值（cvThreshold） 检测边缘（cvCanny） 查找轮廓（cvFindContours的） 线性特征的大致轮廓与（cvApproxPoly） 查找“矩形”，这是结构：已经拥有4个点的polygonalized轮廓，有足够的面积，相邻的边〜 90度，“对面的”顶点之间的距离足够大，等等。 第7步是必要的，因为稍微嘈杂的图像可以产生许多结构出现矩形后polygonalization。在我的应用程序中，我也有处理方状结构，内出现，或重叠所需的平方。我发现轮廓的区域属性和重心是有帮助的挑剔适当的矩形。-First, check out /samples/c/squares.c in your OpenCV distribution. This example provides a square detector, and it should be a pretty good start on how to detect corner-like features. Then, take a look at OpenCV s feature-oriented functions like cvCornerHarris() and cvGoodFeaturesToTrack(). The above methods can return many corner-like features- most will not be the "true corners" you are looking for. In my application, I had to detect squares that had been rotated or skewed (due to perspective). My detection pipeline consisted of: Convert from RGB to grayscale (cvCvtColor) Smooth (cvSmooth) Threshold (cvThreshold) Detect edges (cvCanny) Find contours (cvFindContours) Approximate contours with linear features (cvApproxPoly) Find "rectangles" which were structures that: had polygonalized contours possessing 4 points, were of sufficient area, had adjacent edges were ~90 degrees, had distance between "opposite" vertices was of sufficient size, etc.
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[OpenCV] 1GHY3249TIQU1

Description: 基于canny算子的边界提取 cvCanny 采用 CANNY 算法发现输入图像的边缘而且在输出图像中标识这些边缘-Based on the the canny operator' s boundary extracted cvCanny CANNY algorithms found the edge of the input image and identify these edge in the output image
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[OpenCV] cvcanny

Description: canny算子的轮廓提取，c语言程序，可直接运行-canny operator contour extraction, c language program can be run directly
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[OpenCV] cvCanny

Description: opencv 只带的 canny算法，单独提取出来，可以单独使用。-opencv with only a canny algorithm alone extracted, can be used alone.
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[Special Effects] cvCanny

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[Delphi VCL] cvCanny

Description: delphi canny sample for delphi
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[2D Graphic] Canny

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