OpenCV影象演演算法實現影象切分影象合併範例

/*
影象切分（我是按列進行切分的，按照行也是同樣的原理。亦或是按塊）
核心程式碼如下:
*/
//用於儲存切分後的小影象
vector<Mat> imgs;
//src:待切分原影象 splitCols:切分的每個小影象列數
void imgSplit(Mat src,int splitCols)
{
	//設定分割後影象儲存路徑
	string outpath = ".\split\";
	int col = src.cols, row = src.rows;
	//切分後影象數量
	int sum = 0;
	//被整除
	if ((col%num == 0))
	{
		sum = col / num;
		//迭代器ceil_img儲存子影象
		//vector<Mat> ceil_img;
		//迭代器name儲存子影象的名字，從0到m*n-1
		vector<int> name;
		for (int i = 0; i < sum; i++)
		{
			name.push_back(i);
		}
		Mat image_cut, roi_img, tim_img;
		//儲存完整影象
		for (int i = 0; i < sum; i++)
		{
			Rect rect(i*num, 0, num, row);
			image_cut = Mat(src, rect);
			roi_img = image_cut.clone();
			imgs.push_back(roi_img);
		}
		//寫入到指定資料夾
		for (int i = 0; i < sum; i++)
		{
			imwrite(outpath + to_string(long long((name[i]))) + ".jpg", imgs[i]);
		}
	}
	else //不能整除
	{
		sum = col / num + 1;
		//迭代器ceil_img儲存子影象
		//vector<Mat> ceil_img;
		//迭代器name儲存子影象的名字，從0到m*n-1
		vector<int> name;
		for (int i = 0; i < sum; i++)
		{
			name.push_back(i);
		}
		Mat image_cut, roi_img, tim_img;
		//儲存完整影象
		for (int i = 0; i < sum - 1; i++)
		{
			Rect rect(i*num, 0, num, row);
			image_cut = Mat(src, rect);
			roi_img = image_cut.clone();
			imgs.push_back(roi_img);
		}
		//留餘影象(因為有時候原影象總列數不能被整除，但又不能有損原圖）
		Rect rect((sum - 1)*num, 0, col%num, row);
		image_cut = Mat(src, rect);
		roi_img = image_cut.clone();
		imgs.push_back(roi_img);
		//寫入到指定資料夾
		for (int i = 0; i < sum; i++)
		{
			imwrite(outpath + to_string(long long((name[i]))) + ".jpg", imgs[i]);
		}
	}
}

/*
影象合併
只要學會合並兩幅影象，那麼多幅影象合併就不在話下了
*/
//按列合併兩幅影象
Mat mergeCols(Mat src1, Mat src2)
{
	int totalCols = src1.cols + src2.cols;
	Mat dst(src1.rows, totalCols, src1.type());
	Mat submat = dst.colRange(0, src1.cols);
	src1.copyTo(submat);
	submat = dst.colRange(src1.cols, totalCols);
	src2.copyTo(submat);
	return dst;
}
//多幅影象合併
void imgMerge()
{
	int imgSum = imgs.size();
	Mat dst = imgs[0];
	for (int i = 1; i < imgSum; i++)
	{
		dst = mergeCols(dst, imgs[i]);
	}
}

void split_mergeRun()
{
	Mat src = imread("img.jpg");
	imgSplit(src, 100);
	imgMerge();
}