#pragma execution_character_set("utf-8")
// 01 Frame includes
#include "qopencvprocessing.h"
#include "quihelper.h"

using namespace cv;
using namespace std;

QScopedPointer<QOpencvProcessing> QOpencvProcessing::self;
QOpencvProcessing *QOpencvProcessing::Instance() {
 if (self.isNull()) {
 QMutex mutex;
 QMutexLocker locker(&mutex);
 if (self.isNull()) {
 self.reset(new QOpencvProcessing);
 }
 }
 return self.data();
}
QOpencvProcessing::QOpencvProcessing() {
}

QOpencvProcessing::~QOpencvProcessing() {
}

// 图像转换

QImage QOpencvProcessing::cvMat2QImage(const Mat &mat) { // Mat 改成 QImage
 if (mat.type() == CV_8UC1) {				// 单通道
 QImage image(mat.cols, mat.rows, QImage::Format_Indexed8);
 image.setColorCount(256);				// 灰度级数256
 for (int i = 0; i < 256; i++) {
 image.setColor(i, qRgb(i, i, i));
 }
 uchar *pSrc = mat.data;					// 复制mat数据
 for (int row = 0; row < mat.rows; row++) {
 uchar *pDest = image.scanLine(row);
 memcpy(pDest, pSrc, static_cast<unsigned long>(mat.cols));
 pSrc += static_cast<long>(mat.step);
 }
 return image;
 } else if (mat.type() == CV_8UC3) {			// 3通道
 const uchar *pSrc = const_cast<const uchar *>(mat.data);			// 复制像素
 QImage image(pSrc, mat.cols, mat.rows,
 static_cast<int>(mat.step), QImage::Format_RGB888);
 // R, G, B 对应 0,1,2
 return image.rgbSwapped();				// rgbSwapped是为了显示效果色彩好一些。
 } else if (mat.type() == CV_8UC4) {
 const uchar *pSrc = const_cast<const uchar *>(mat.data);			// 复制像素
 // Create QImage with same dimensions as input Mat
 QImage image(pSrc, mat.cols, mat.rows,
 static_cast<int>(mat.step), QImage::Format_ARGB32);
 // B,G,R,A 对应 0,1,2,3
 return image.copy();
 } else {
 return QImage();
 }
}

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

QImage QOpencvProcessing::splitBGR(QImage src, int color) {		// 提取RGB分量
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 if (srcImg.channels() == 1) {
 QMessageBox message(QMessageBox::Information,
 QString::fromLocal8Bit("提示"),
 QString::fromLocal8Bit("该图像为灰度图像。"));
 message.exec();
 return src;
 } else {
 vector<Mat> m;
 split(srcImg, m);
 vector<Mat>Rchannels, Gchannels, Bchannels;
 split(srcImg, Rchannels);
 split(srcImg, Gchannels);
 split(srcImg, Bchannels);
 Rchannels[1] = 0;
 Rchannels[2] = 0;
 Gchannels[0] = 0;
 Gchannels[2] = 0;
 Bchannels[0] = 0;
 Bchannels[1] = 0;
 merge(Rchannels, m[0]);
 merge(Gchannels, m[1]);
 merge(Bchannels, m[2]);
 dstImg = m[static_cast<unsigned long>(color)];		// 分别对应B、G、R
 QImage dst = cvMat2QImage(dstImg);
 return dst;
 }
}

QImage QOpencvProcessing::splitColor(
 QImage src, String model, int color) {	// 提取分量
 if (model == "RGB") {
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 if (srcImg.channels() == 1) {
 QMessageBox message(QMessageBox::Information,
 QString::fromLocal8Bit("提示"),
 QString::fromLocal8Bit("该图像为灰度图像。"));
 message.exec();
 return src;
 } else {
 vector<Mat> m;
 split(srcImg, m);
 vector<Mat>Rchannels, Gchannels, Bchannels;
 split(srcImg, Rchannels);
 split(srcImg, Gchannels);
 split(srcImg, Bchannels);
 Rchannels[1] = 0;
 Rchannels[2] = 0;
 Gchannels[0] = 0;
 Gchannels[2] = 0;
 Bchannels[0] = 0;
 Bchannels[1] = 0;
 merge(Rchannels, m[0]);
 merge(Gchannels, m[1]);
 merge(Bchannels, m[2]);
 dstImg = m[static_cast<unsigned long>(color)];		// 分别对应B、G、R
 QImage dst = cvMat2QImage(dstImg);
 return dst;
 }
 } else {
 Mat img = QImage2cvMat(src);
 Mat img_rgb, img_hsv, img_hls, img_yuv, img_dst;
 if (img.channels() == 1) {
 QUIHelper::ShowMessageBoxError("该图像为灰度图像。");
 return src;
 } else {
 vector <Mat> vecRGB, vecHsv, vecHls, vecYuv;
 img_hsv.create(img.rows, img.cols, CV_8UC3);
 img_hls.create(img.rows, img.cols, CV_8UC3);
 cvtColor(img, img_rgb, CV_BGR2RGB);
 cvtColor(img, img_hsv, CV_BGR2HSV);
 cvtColor(img, img_hls, CV_BGR2HLS);
 cvtColor(img, img_yuv, CV_BGR2YUV);
 split(img_rgb, vecRGB);
 split(img_hsv, vecHsv);
 split(img_hls, vecHls);
 split(img_yuv, vecYuv);
 if (model == "RGB") {
 img_dst = vecRGB[static_cast<unsigned long>(color)];
 } else if (model == "HSV") {
 img_dst = vecHsv[static_cast<unsigned long>(color)];
 } else if (model == "HLS") {
 img_dst = vecHls[static_cast<unsigned long>(color)];
 } else if (model == "YUV") {
 img_dst = vecYuv[static_cast<unsigned long>(color)];
 } else {
 img_dst = img;
 }
 QImage dst = cvMat2QImage(img_dst);
 return dst;
 }
 }
}


// 图像几何变换

void QOpencvProcessing::Resize(QImage &src, int length, int width) {
 // 改变大小
 Mat matSrc, matDst;
 matSrc = QImage2cvMat(src);
 resize(matSrc, matDst, Size(length, width), 0, 0, CV_INTER_LINEAR);// 线性插值
 src = cvMat2QImage(matDst);
}

void QOpencvProcessing::Enlarge_Reduce(QImage &src, int times) {
 // 缩放
 Mat matSrc, matDst;
 matSrc = QImage2cvMat(src);
 if (times > 0) {
 resize(matSrc, matDst, Size(matSrc.cols * abs(times + 1),
 matSrc.rows * abs(times + 1))
 , 0, 0, INTER_LINEAR);
 src = cvMat2QImage(matDst);
 return ;
 } else if (times < 0) {
 resize(matSrc, matDst, Size(matSrc.cols / abs(times - 1),
 matSrc.rows / abs(times - 1))
 , 0, 0, INTER_AREA);
 src = cvMat2QImage(matDst);
 return ;
 } else {
 return ;
 }
}

void QOpencvProcessing::Rotate(QImage &src, int angle) {
 // 旋转
 Mat matSrc, matDst, M;
 matSrc = QImage2cvMat(src);
 cv::Point2f center(matSrc.cols / 2, matSrc.rows / 2);
 cv::Mat rot = cv::getRotationMatrix2D(center, angle, 1);
 cv::Rect bbox = cv::RotatedRect(center, matSrc.size(), angle).boundingRect();
 ;
 rot.at<double>(0, 2) += bbox.width / 2.0 - static_cast<double>(center.x);
 rot.at<double>(1, 2) += bbox.height / 2.0 - static_cast<double>(center.y);
 cv::warpAffine(matSrc, matDst, rot, bbox.size());
 src = cvMat2QImage(matDst);
 return ;
}

void QOpencvProcessing::Rotate_fixed(QImage &src, int angle) {
 // 旋转90,180,270
 Mat matSrc, matDst, M;
 matSrc = QImage2cvMat(src);
 M = getRotationMatrix2D(Point2i(matSrc.cols / 2, matSrc.rows / 2), angle, 1);
 warpAffine(matSrc, matDst, M, Size(matSrc.cols, matSrc.rows));
 src = cvMat2QImage(matDst);
 return ;
}

void QOpencvProcessing::Flip(QImage &src, int flipcode) {
 // 镜像
 Mat matSrc, matDst;
 matSrc = QImage2cvMat(src);
 flip(matSrc, matDst, flipcode);
 // flipCode==0 垂直翻转(沿X轴翻转),flipCode>0 水平翻转(沿Y轴翻转)
 // flipCode<0 水平垂直翻转(先沿X轴翻转,再沿Y轴翻转,等价于旋转180°)
 src = cvMat2QImage(matDst);
 return ;
}

void QOpencvProcessing::Lean(QImage &src, int x, int y) {
 // 倾斜
 Mat matSrc, matTmp, matDst;
 matSrc = QImage2cvMat(src);
 matTmp = Mat::zeros(matSrc.rows, matSrc.cols, matSrc.type());
 Mat map_x, map_y;
 Point2f src_point[3], tmp_point[3], x_point[3], y_point[3];
 double angleX = x / 180.0 * CV_PI ;
 double angleY = y / 180.0 * CV_PI;
 src_point[0] = Point2f(0, 0);
 src_point[1] = Point2f(matSrc.cols, 0);
 src_point[2] = Point2f(0, matSrc.rows);
 x_point[0] = Point2f(static_cast<float>(matSrc.rows) *
 static_cast<float>(tan(angleX)), 0);
 x_point[1] = Point2f(static_cast<int>(matSrc.cols + matSrc.rows * tan(angleX)), 0);
 x_point[2] = Point2f(0, matSrc.rows);
 map_x = getAffineTransform(src_point, x_point);
 warpAffine(matSrc, matTmp, map_x,
 Size(static_cast<int>(matSrc.cols + matSrc.rows * tan(angleX)),
 matSrc.rows));
 tmp_point[0] = Point2f(0, 0);
 tmp_point[1] = Point2f(matTmp.cols, 0);
 tmp_point[2] = Point2f(0, matTmp.rows);
 y_point[0] = Point2f(0, 0);
 y_point[1] = Point2f(matTmp.cols, static_cast<float>(matTmp.cols * tan(angleY)));
 y_point[2] = Point2f(0, matTmp.rows);
 map_y = getAffineTransform(tmp_point, y_point);
 warpAffine(matTmp, matDst, map_y,
 Size(matTmp.cols, static_cast<int>
 (matTmp.rows + matTmp.cols * tan(angleY))));
 src = cvMat2QImage(matDst);
 return ;
}


// 图像增强
QImage QOpencvProcessing::Normalized(QImage src, int kernel_length) {
 // 简单滤波
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 blur(srcImg, dstImg, Size(kernel_length, kernel_length), Point(-1, -1));
 return cvMat2QImage(dstImg);
}

QImage QOpencvProcessing::Gaussian(QImage src, int kernel_length) {
 // 高斯滤波
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 GaussianBlur(srcImg, dstImg, Size(kernel_length, kernel_length), 0, 0);
 return cvMat2QImage(dstImg);
}

QImage QOpencvProcessing::Median(QImage src, int kernel_length) {
 // 中值滤波
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 medianBlur(srcImg, dstImg, kernel_length);
 return cvMat2QImage(dstImg);
}

QImage QOpencvProcessing::HoughLine(
 QImage src, int threshold, double minLineLength, double maxLineGap) {
 // 线检测
 Mat srcImg, dstImg, cdstPImg;
 srcImg = QImage2cvMat(src);
 cv::Canny(srcImg, dstImg, 50, 200, 3); // Canny算子边缘检测
 if (srcImg.channels() != 1) {
 cvtColor(dstImg, cdstPImg, COLOR_GRAY2BGR); // 转换灰度图像
 } else {
 cdstPImg = srcImg;
 }
 vector<Vec4i> linesP;
 HoughLinesP(dstImg, linesP, 1, CV_PI / 180, threshold, minLineLength, maxLineGap);
 // 50,50,10
 for (size_t i = 0; i < linesP.size(); i++) {
 Vec4i l = linesP[i];
 line(cdstPImg, Point(l[0], l[1]),
 Point(l[2], l[3]), Scalar(0, 0, 255), 1, LINE_AA);
 }
 return cvMat2QImage(cdstPImg);
}

QImage QOpencvProcessing::HoughCircle(QImage src, int minRadius, int maxRadius) {
 // 圆检测
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat gray;
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, gray, COLOR_BGR2GRAY);
 } else {
 gray = srcImg;
 }
 medianBlur(gray, gray, 5); // 中值滤波,滤除噪声,避免错误检测
 vector<Vec3f> circles;
 HoughCircles(gray, circles, HOUGH_GRADIENT, 1,
 gray.rows / 16, 100, 30, minRadius, maxRadius);
 // Hough圆检测,100, 30, 1, 30
 dstImg = srcImg.clone();
 for (size_t i = 0; i < circles.size(); i++) {
 Vec3i c = circles[i];
 Point center = Point(c[0], c[1]);
 circle(dstImg, center, 1, Scalar(0, 100, 100), 3, LINE_AA);
 // 画圆
 int radius = c[2];
 circle(dstImg, center, radius, Scalar(255, 0, 255), 3, LINE_AA);
 }
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Sobel(QImage src, int kernel_length) {
 // sobel
 Mat srcImg, dstImg, src_gray;
 srcImg = QImage2cvMat(src);
 GaussianBlur(srcImg, srcImg, Size(3, 3), 0, 0, BORDER_DEFAULT); // 高斯模糊
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, src_gray, COLOR_BGR2GRAY); // 转换灰度图像
 } else {
 src_gray = srcImg;
 }
 Mat grad_x, grad_y, abs_grad_x, abs_grad_y;
 cv::Sobel(src_gray, grad_x, CV_16S, 1, 0, kernel_length, 1, 0, BORDER_DEFAULT);
 cv::Sobel(src_gray, grad_y, CV_16S, 0, 1, kernel_length, 1, 0, BORDER_DEFAULT);
 convertScaleAbs(grad_x, abs_grad_x); // 缩放,计算绝对值,并将结果转换为8位
 convertScaleAbs(grad_y, abs_grad_y);
 addWeighted(abs_grad_x, 0.5, abs_grad_y, 0.5, 0, dstImg);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Laplacian(QImage src, int kernel_length) {
 // laplacian
 Mat srcImg, dstImg, src_gray;
 srcImg = QImage2cvMat(src);
 GaussianBlur(srcImg, srcImg, Size(3, 3), 0, 0, BORDER_DEFAULT); // 高斯模糊
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, src_gray, COLOR_BGR2GRAY); // 转换灰度图像
 } else {
 src_gray = srcImg;
 }
 Mat abs_dst; // 拉普拉斯二阶导数
 cv::Laplacian(src_gray, dstImg, CV_16S, kernel_length, 1, 0, BORDER_DEFAULT);
 convertScaleAbs(dstImg, dstImg); // 绝对值8位
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Canny(QImage src, int kernel_length, int lowThreshold) {
 // canny
 Mat srcImg, dstImg, src_gray, detected_edges;
 srcImg = QImage2cvMat(src);
 dstImg.create(srcImg.size(), srcImg.type());
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, src_gray, COLOR_BGR2GRAY); // 转换灰度图像
 } else {
 src_gray = srcImg;
 }
 blur(src_gray, detected_edges, Size(3, 3));
 // 平均滤波平滑
 cv::Canny(detected_edges, detected_edges, lowThreshold,
 lowThreshold * 3, kernel_length);
 dstImg = Scalar::all(0);
 srcImg.copyTo(dstImg, detected_edges);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

bool QOpencvProcessing::IsBin(Mat &image) {
 int w = image.cols;
 int h = image.rows;
 for (int row = 0; row < h; row++) {
 uchar *uc_pixel = image.data + static_cast<unsigned long>(row) * image.step;
 for (int col = 0; col < w; col++) {
 if ((uc_pixel[0] >= 20) && (uc_pixel[0] <= 235)) {
 qDebug() << uc_pixel[0];
 return false;
 }
 uc_pixel += 3;
 }
 }
 return true;
}

void QOpencvProcessing::BinToGraylevel(Mat &image) {
 int w = image.cols;
 int h = image.rows;
 for (int row = 0; row < h; row++) {
 uchar *uc_pixel = image.data + static_cast<unsigned long>(row) * image.step;
 for (int col = 0; col < w; col++) {
 if (uc_pixel[0] <= 20) {
 uc_pixel[0] = 50;
 }
 if (uc_pixel[0] >= 235) {
 uc_pixel[0] = 150;
 }
 uc_pixel += 1;
 }
 }
}

// 灰度变化

QImage QOpencvProcessing::Bin(QImage src, int threshold) {		// 二值化
 Mat srcImg, dstImg, grayImg;
 srcImg = QImage2cvMat(src);
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, grayImg, CV_BGR2GRAY);
 } else {
 dstImg = srcImg.clone();
 }
 cv::threshold(grayImg, dstImg, threshold, 255, THRESH_BINARY);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Graylevel(QImage src) {				// 灰度图像
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 dstImg.create(srcImg.size(), srcImg.type());
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, dstImg, CV_BGR2GRAY);
 } else {
 dstImg = srcImg.clone();
 }
 if (IsBin(dstImg)) {
 BinToGraylevel(dstImg);
 }
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Reverse(QImage src) {
 // 图像反转
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 bitwise_xor(srcImg, Scalar(255), dstImg);
 // 异或
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Linear(QImage src, int alpha, int beta) {
 // 线性变换
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 srcImg.convertTo(dstImg, -1, alpha / 100.0, beta - 100);
 // matDst = alpha * matTmp + beta
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Gamma(QImage src, int gamma) {
 // 伽马变换(指数变换)
 if (gamma < 0) {
 return src;
 }
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat lookUpTable(1, 256, CV_8U);
 // 查找表
 uchar *p = lookUpTable.ptr();
 for (int i = 0; i < 256; ++i) {
 p[i] = saturate_cast<uchar>(pow(i / 255.0, gamma / 100.0) * 255.0);
 // pow()是幂次运算
 }
 LUT(srcImg, lookUpTable, dstImg);
 // LUT
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Log(QImage src, int c) {
 // 对数变换
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat lookUpTable(1, 256, CV_8U);
 // 查找表
 uchar *p = lookUpTable.ptr();
 for (int i = 0; i < 256; ++i) {
 p[i] = saturate_cast<uchar>((c / 100.0) * log(1 + i / 255.0) * 255.0);
 // pow()是幂次运算
 }
 LUT(srcImg, lookUpTable, dstImg);
 // LUT
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Histeq(QImage src) {
 // 直方图均衡化
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, srcImg, CV_BGR2GRAY);
 } else {
 dstImg = srcImg.clone();
 }
 equalizeHist(srcImg, dstImg);
 // 直方图均衡化
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

// 图像腐蚀

QImage QOpencvProcessing::Erode(QImage src, int elem, int kernel, int times) {
 // 腐蚀
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 int erosion_type = 0;
 if (elem == 0) {
 erosion_type = MORPH_RECT;
 } else if (elem == 1) {
 erosion_type = MORPH_CROSS;
 } else if (elem == 2) {
 erosion_type = MORPH_ELLIPSE;
 }
 Mat element = getStructuringElement(
 erosion_type, Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 erode(srcImg, dstImg, element, Point(-1, -1), times);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Dilate(QImage src, int elem, int kernel, int times) {
 // 膨胀
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 int dilation_type = 0;
 if (elem == 0) {
 dilation_type = MORPH_RECT;
 } else if (elem == 1) {
 dilation_type = MORPH_CROSS;
 } else if (elem == 2) {
 dilation_type = MORPH_ELLIPSE;
 }
 Mat element = getStructuringElement(dilation_type,
 Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 dilate(srcImg, dstImg, element, Point(-1, -1), times);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Open(QImage src, int elem, int kernel, int times) {
 // 开运算
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat element = getStructuringElement(elem, Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 morphologyEx(srcImg, dstImg, MORPH_OPEN, element, Point(-1, -1), times);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Close(QImage src, int elem, int kernel, int times) {
 // 闭运算
 Mat srcImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat element = getStructuringElement(elem, Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 morphologyEx(srcImg, dstImg, MORPH_CLOSE, element, Point(-1, -1), times);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Grad(QImage src, int elem, int kernel) {
 // 形态学梯度
 Mat srcImg, grayImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat element = getStructuringElement(elem, Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, grayImg, CV_BGR2GRAY);
 } else {
 grayImg = srcImg.clone();
 }
 morphologyEx(grayImg, dstImg, MORPH_GRADIENT, element);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Tophat(QImage src, int elem, int kernel) {
 // 顶帽操作
 Mat srcImg, grayImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat element = getStructuringElement(elem, Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, grayImg, CV_BGR2GRAY);
 } else {
 grayImg = srcImg.clone();
 }
 morphologyEx(grayImg, dstImg, MORPH_TOPHAT, element);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}

QImage QOpencvProcessing::Blackhat(QImage src, int elem, int kernel) {
 // 黑帽操作
 Mat srcImg, grayImg, dstImg;
 srcImg = QImage2cvMat(src);
 Mat element = getStructuringElement(elem, Size(2 * kernel + 3, 2 * kernel + 3),
 Point(kernel + 1, kernel + 1));
 if (srcImg.channels() != 1) {
 cvtColor(srcImg, grayImg, CV_BGR2GRAY);
 } else {
 grayImg = srcImg.clone();
 }
 morphologyEx(grayImg, dstImg, MORPH_BLACKHAT, element);
 QImage dst = cvMat2QImage(dstImg);
 return dst;
}