讓客戶(hù)滿(mǎn)意是我們工作的目標(biāo)，不斷超越客戶(hù)的期望值來(lái)自于我們對(duì)這個(gè)行業(yè)的熱愛(ài)。我們立志把好的技術(shù)通過(guò)有效、簡(jiǎn)單的方式提供給客戶(hù)，將通過(guò)不懈努力成為客戶(hù)在信息化領(lǐng)域值得信任、有價(jià)值的長(zhǎng)期合作伙伴，公司提供的服務(wù)項(xiàng)目有：空間域名、網(wǎng)站空間、營(yíng)銷(xiāo)軟件、網(wǎng)站建設(shè)、梅河口網(wǎng)站維護(hù)、網(wǎng)站推廣。
// extract_contours.cpp : 定義控制臺(tái)應(yīng)用程序的入口點(diǎn)。
//
#include "stdafx.h"
#include
#include
using namespace cv;
using namespace std;
int _tmain(int argc, _TCHAR* argv[])
{
//load src image
string img_name="..\\image_norm\\71253.jpg";
Mat image=imread(img_name);
imshow("src_image",image);
cvWaitKey(0);
//convert into gray image
Mat gray(image.size(),CV_8U);
cvtColor(image,gray,CV_BGR2GRAY);
imshow("gray",gray);
cvWaitKey(0);
//convert into bin image
threshold(gray,gray,128,255,THRESH_BINARY);//轉(zhuǎn)換成2值圖像
imshow("binary",gray);
cvWaitKey(0);
// Detecting contours
vector> contours; //定義輪廓集合
vector hierarchy;
findContours(gray, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);//CV_RETR_EXTERNAL只檢測(cè)外部輪廓
// draw black contours on white image
Mat result(gray.size(),CV_8U,Scalar(255));
int index = 0;
for (; index >= 0; index = hierarchy[index][0]) //hierarchy[index][0]表示后一個(gè)輪廓
{
Scalar color(rand() & 255, rand() & 255, rand() & 255);
drawContours(result, contours, index, Scalar(0), 1, 8, hierarchy);//描繪字符的外輪廓
Rect rect = boundingRect(contours[index]);//檢測(cè)外輪廓
rectangle(result, rect, Scalar(0,0,255), 3);//對(duì)外輪廓加矩形框
}
imshow("Contours on white image",result);
cvWaitKey(0);
//draw contours on the original image
Mat original=imread(img_name);
int index_ori = 0;
for (; index_ori >= 0; index_ori = hierarchy[index_ori][0])
{
Scalar color(rand() & 255, rand() & 255, rand() & 255);
//描繪字符的外輪廓
drawContours(original,contours,index_ori,Scalar(255),1,8, hierarchy);
Rect rect = boundingRect(contours[index_ori]);//檢測(cè)外輪廓
//對(duì)外輪廓加加矩形框
rectangle(original, rect, Scalar(0,0,255), 3);
}
//print contours info
cout<<"The number of external contours:"<
重慶分公司
重慶分公司
