1、首先安裝Homebrew工具，有了這個(gè)工具安裝OpenCV就很簡(jiǎn)單
安裝Homebrew在終端輸入下面命令行即可：

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

2、安裝好Homebrew之后，使用下面命令安裝OpenCV

# add opencv
brew tap homebrew/science

# install opencv
brew install opencv

有問(wèn)題可以參考這篇文章：
http://www.pyimagesearch.com/2017/05/15/resolving-macos-opencv-homebrew-install-errors/

3遂庄、接下來(lái)打開(kāi)XCode開(kāi)發(fā)工具（可在商店中下載），新建一個(gè)工程選擇macOS-Command Line Tool 劲赠，如圖：

image.png

開(kāi)發(fā)語(yǔ)言選擇c++

4涛目、修改工程 Build setting 中 Header Search Paths的值為 /usr/local/include
修改工程 Build setting 中 Library Search Paths的值為 /usr/local/lib/**
如圖：

image.png

image.png

5、點(diǎn)到工程的General-Linked framework and libraries经磅，點(diǎn)擊+號(hào)

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在彈出的框中點(diǎn)擊 AddOther 按鈕泌绣，再按組合鍵 command+shift+G 在Go to the folder中填上路徑 /usr/local/lib點(diǎn)擊go

image.png

把所有l(wèi)ibopencv前綴dylib后綴的都選中加進(jìn)工程

image.png

把下面代碼覆蓋你的main.cpp 文件

//
//  main.cpp
//  test_OpenCV
//
//  Created by 朱松澤 on 2017/8/16.
//  Copyright ? 2017年 com.gdtech. All rights reserved.
//

#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

IplImage* doCanny(IplImage* image_input,
                  double lowThresh,
                  double highThresh,
                  double aperture)
{
    if(image_input->nChannels != 1)
        return (0);
    
    IplImage* image_output = cvCreateImage(cvGetSize(image_input),
                                           image_input->depth,
                                           image_input->nChannels);
    
    cvCanny(image_input,image_output,lowThresh,highThresh,aperture);
    
    return(image_output);
}
int main(int argc, const char * argv[]) {
    cvNamedWindow("Camera" , CV_WINDOW_AUTOSIZE );
    
    CvCapture* capture = cvCreateCameraCapture(CV_CAP_ANY);
    
    assert(capture != NULL);
    
    IplImage *frame = 0;
    frame = cvQueryFrame(capture);
    
    IplImage *frame_edge = cvCreateImage(cvGetSize(frame),
                                         IPL_DEPTH_8U,
                                         1);
    while(1)
    {
        frame = cvQueryFrame(capture);
        if(!frame) break;
        
        cvConvertImage(frame,frame_edge,0);
        frame = cvCloneImage(frame_edge);
        
        frame_edge = doCanny(frame_edge,70,90,3);
        
        cvShowImage("Camera",frame_edge);
        char c = cvWaitKey(15);
        if(c == 27)  break;
    }
    
    cvReleaseCapture(&capture);
    cvReleaseImage( &frame_edge );
    cvReleaseImage( &frame);
    
    
    return (int)0;
}

運(yùn)行工程，上面代碼效果從Mac自帶的攝像頭讀入圖像预厌，然后canny提取了邊緣然后顯示阿迈。
效果如圖

image.png

代碼來(lái)自文章：http://blog.csdn.net/zhoufan900428/article/details/45968125
安裝配置過(guò)程參考了文章
http://blog.devtang.com/2012/10/27/use-opencv-in-ios/