OpenCV圖像算法實現圖像切分圖像合並示例

/*
圖像切分（我是按列進行切分的，按照行也是同樣的原理。亦或是按塊）
核心代碼如下:
*/
//用於存儲切分後的小圖像
vector<Mat> imgs;
//src:待切分原圖像 splitCols:切分的每個小圖像列數
void imgSplit(Mat src,int splitCols)
{
	//設置分割後圖像存儲路徑
	string outpath = ".\\split\\";
	int col = src.cols, row = src.rows;
	//切分後圖像數量
	int sum = 0;
	//被整除
	if ((col%num == 0))
	{
		sum = col / num;
		//迭代器ceil_img存儲子圖像
		//vector<Mat> ceil_img;
		//迭代器name存儲子圖像的名字，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;
		//存儲完整圖像
		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);
		}
		//寫入到指定文件夾
		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存儲子圖像
		//vector<Mat> ceil_img;
		//迭代器name存儲子圖像的名字，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;
		//存儲完整圖像
		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);
		}
		//留餘圖像(因為有時候原圖像總列數不能被整除，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);
		//寫入到指定文件夾
		for (int i = 0; i < sum; i++)
		{
			imwrite(outpath + to_string(long long((name[i]))) + ".jpg", imgs[i]);
		}
	}
}

/*
圖像合並
隻要學會合並兩幅圖像，那麼多幅圖像合並就不在話下瞭
*/
//按列合並兩幅圖像
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;
}
//多幅圖像合並
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();
}