QImage与cv::Mat互相转换-包括32F图像转换

废话不多,直接上代码

cv::Mat转QImage(拷贝转换)

QImage cvMat2QImage(const cv::Mat& mat) 
{
	if (mat.empty())
	{
		return QImage();
	}
	QImage image;
	switch (mat.type())
	{
	case CV_8UC1:
	{
		image = QImage((const uchar*)(mat.data),
			mat.cols, mat.rows, mat.step,
			QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_8UC2:
	{
		mat.convertTo(mat, CV_8UC1);
		image = QImage((const uchar*)(mat.data),
			mat.cols, mat.rows, mat.step,
			QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_8UC3:
	{
		// Copy input Mat
		const uchar *pSrc = (const uchar*)mat.data;
		// Create QImage with same dimensions as input Mat
		QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
	}
	case CV_8UC4:
	{
		// Copy input Mat
		const uchar *pSrc = (const uchar*)mat.data;
		// Create QImage with same dimensions as input Mat
		QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_ARGB32);
		return image.copy();
	}
	case CV_32FC1:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_32FC3:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX,-1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		// Create QImage with same dimensions as input Mat
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
	}
	case CV_64FC1:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_64FC3:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		// Create QImage with same dimensions as input Mat
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
	}
	case CV_32SC1:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_32SC3:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		// Create QImage with same dimensions as input Mat
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
	}
	case CV_16SC1:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_16SC3:
	{
		Mat normalize_mat;
		normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		normalize_mat.convertTo(normalize_mat, CV_8U);
		const uchar *pSrc = (const uchar*)normalize_mat.data;
		// Create QImage with same dimensions as input Mat
		QImage image(pSrc, normalize_mat.cols, normalize_mat.rows, normalize_mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
	}
	case CV_8SC1:
	{
		//Mat normalize_mat;
		//normalize(mat, normalize_mat, 0, 255, NORM_MINMAX, -1);
		mat.convertTo(mat, CV_8U);
		const uchar *pSrc = (const uchar*)mat.data;
		QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_Grayscale8);
		return image.copy();
	}
	case CV_8SC3:
	{
		mat.convertTo(mat, CV_8U);
		const uchar *pSrc = (const uchar*)mat.data;
		QImage image(pSrc, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
	}
	default:
		mat.convertTo(mat, CV_8UC3);
		QImage image((const uchar*)mat.data, mat.cols, mat.rows, mat.step, QImage::Format_RGB888);
		return image.rgbSwapped();
		return QImage();
		break;
	}
}

QImage转cv::Mat(共享内存的转换)

cv::Mat QImage2cvMat(QImage& image)
{
	cv::Mat mat;
	//qDebug() << image.format();
	switch (image.format())
	{
	case QImage::Format_ARGB32:
		mat = cv::Mat(image.height(), image.width(), CV_8UC4, (void*)image.constBits(), image.bytesPerLine());
		break;
	case QImage::Format_RGB32:
		mat = cv::Mat(image.height(), image.width(), CV_8UC3, (void*)image.constBits(), image.bytesPerLine());
		//cv::cvtColor(mat, mat, CV_BGR2RGB);
		break;
	case QImage::Format_ARGB32_Premultiplied:
		mat = cv::Mat(image.height(), image.width(), CV_8UC4, (void*)image.constBits(), image.bytesPerLine());
		break;
	case QImage::Format_RGB888:
		mat = cv::Mat(image.height(), image.width(), CV_8UC3, (void*)image.constBits(), image.bytesPerLine());
		//cv::cvtColor(mat, mat, CV_BGR2RGB);
		break;
	case QImage::Format_Indexed8:
		mat = cv::Mat(image.height(), image.width(), CV_8UC1, (void*)image.constBits(), image.bytesPerLine());
		break;
	case QImage::Format_Grayscale8:
		mat = cv::Mat(image.height(), image.width(), CV_8UC1, (void*)image.constBits(), image.bytesPerLine());
		break;
	}
	return mat;
}

用的好记得来打赏