這段時間一直在用opencv搞圖像處理的問題，發(fā)現(xiàn)雖然可調(diào)用的函數(shù)多，但是直接找相應(yīng)代碼還是很困難，就行尋找連通域，并在連通域外側(cè)加框，對于習(xí)慣使用Mat矩形操作的我，真心感覺代碼少之又少，為防止以后自己還會用到，特在此記錄一下。
#include "stdafx.h"
#include "stdio.h"
#include "Base_process.h"
#include "opencv/cv.h"
#include "opencv/highgui.h"
#include
#include
#include
#include
using namespace std;
using namespace cv;
void main()
{
Mat src = imread("D:\\Recognize_Form_Project\\test_images\\0.jpg");//圖片路徑/*image180.jpg*/
Mat gray_image;
cvtColor(src, gray_image, CV_BGR2GRAY);
imwrite("src.jpg", src);
Mat binary_image;
adaptiveThreshold(gray_image, binary_image, 255, CV_ADAPTIVE_THRESH_MEAN_C,
CV_THRESH_BINARY_INV, 25, 10); ///局部自適應(yīng)二值化函數(shù)
imwrite("erzhi.jpg", binary_image);
//去噪
Mat de_noise = binary_image.clone();
//中值濾波
medianBlur(binary_image, de_noise, 5);
///////////////////////// 膨脹 ////////////////////
Mat dilate_img;
Mat element = getStructuringElement(MORPH_RECT, Size(20, 20/*15, 15*/));
dilate(de_noise, dilate_img,element);
imwrite("dilate.jpg", dilate_img);
//外部加框
//檢測連通域，每一個連通域以一系列的點(diǎn)表示，F(xiàn)indContours方法只能得到第一個域
vector> contours;
vector hierarchy;
findContours(dilate_img, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);//CV_RETR_EXTERNAL只檢測外部輪廓，可根據(jù)自身需求進(jìn)行調(diào)整
Mat contoursImage(dilate_img.rows, dilate_img.cols, CV_8U, Scalar(255));
int index = 0;
for (; index >= 0; index = hierarchy[index][0]) {
cv::Scalar color(rand() & 255, rand() & 255, rand() & 255);
// for opencv 2
// cv::drawContours(dstImage, contours, index, color, CV_FILLED, 8, hierarchy);//CV_FILLED所在位置表示輪廓線條粗細(xì)度，如果為負(fù)值（如thickness==cv_filled），繪制在輪廓內(nèi)部
// for opencv 3
//cv::drawContours(contoursImage, contours, index, color, cv::FILLED, 8, hierarchy);
cv::drawContours(contoursImage, contours, index, Scalar(0), 1, 8, hierarchy);//描繪字符的外輪廓
Rect rect = boundingRect(contours[index]);//檢測外輪廓
rectangle(contoursImage, rect, Scalar(0,0,255), 3);//對外輪廓加矩形框
}
imwrite("zt.jpg", contoursImage）;
cout << "完成檢測";
de_noise.release();
element.release();
dilate_img.release();
binary_image.release();
gray_image.release();
}
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