Java OpenCV 将小图像叠加到具有透明度的大图像上
Java OpenCV Layer small image onto larger image with transparency
我正在尝试编写一个函数,将一个图像叠加在另一个图像上方的矩形上,但它不会对图像进行分层,它只是擦除我叠加的部分,透明度会贯穿整个图像图片。这是我的代码。
public static void overlayImage(String imagePath, String overlayPath, int x, int y, int width, int height) {
Mat overlay = Imgcodecs.imread(overlayPath, Imgcodecs.IMREAD_UNCHANGED);
Mat image = Imgcodecs.imread(imagePath, Imgcodecs.IMREAD_UNCHANGED);
Rectangle rect = new Rectangle(x, y, width, height);
Imgproc.resize(overlay, overlay, rect.size());
Mat submat = image.submat(new Rect(rect.x, rect.y, overlay.cols(), overlay.rows()));
overlay.copyTo(submat);
Imgcodecs.imwrite(imagePath, image);
}
编辑:以下是一些示例图片:
之前:
之后:
发现这个功能完全符合我的需要。
public static void overlayImage(Mat background,Mat foreground,Mat output, Point location){
background.copyTo(output);
for(int y = (int) Math.max(location.y , 0); y < background.rows(); ++y){
int fY = (int) (y - location.y);
if(fY >= foreground.rows())
break;
for(int x = (int) Math.max(location.x, 0); x < background.cols(); ++x){
int fX = (int) (x - location.x);
if(fX >= foreground.cols()){
break;
}
double opacity;
double[] finalPixelValue = new double[4];
opacity = foreground.get(fY , fX)[3];
finalPixelValue[0] = background.get(y, x)[0];
finalPixelValue[1] = background.get(y, x)[1];
finalPixelValue[2] = background.get(y, x)[2];
finalPixelValue[3] = background.get(y, x)[3];
for(int c = 0; c < output.channels(); ++c){
if(opacity > 0){
double foregroundPx = foreground.get(fY, fX)[c];
double backgroundPx = background.get(y, x)[c];
float fOpacity = (float) (opacity / 255);
finalPixelValue[c] = ((backgroundPx * ( 1.0 - fOpacity)) + (foregroundPx * fOpacity));
if(c==3){
finalPixelValue[c] = foreground.get(fY,fX)[3];
}
}
}
output.put(y, x,finalPixelValue);
}
}
}
我正在尝试编写一个函数,将一个图像叠加在另一个图像上方的矩形上,但它不会对图像进行分层,它只是擦除我叠加的部分,透明度会贯穿整个图像图片。这是我的代码。
public static void overlayImage(String imagePath, String overlayPath, int x, int y, int width, int height) {
Mat overlay = Imgcodecs.imread(overlayPath, Imgcodecs.IMREAD_UNCHANGED);
Mat image = Imgcodecs.imread(imagePath, Imgcodecs.IMREAD_UNCHANGED);
Rectangle rect = new Rectangle(x, y, width, height);
Imgproc.resize(overlay, overlay, rect.size());
Mat submat = image.submat(new Rect(rect.x, rect.y, overlay.cols(), overlay.rows()));
overlay.copyTo(submat);
Imgcodecs.imwrite(imagePath, image);
}
编辑:以下是一些示例图片: 之前:
之后:
发现这个功能完全符合我的需要。
public static void overlayImage(Mat background,Mat foreground,Mat output, Point location){
background.copyTo(output);
for(int y = (int) Math.max(location.y , 0); y < background.rows(); ++y){
int fY = (int) (y - location.y);
if(fY >= foreground.rows())
break;
for(int x = (int) Math.max(location.x, 0); x < background.cols(); ++x){
int fX = (int) (x - location.x);
if(fX >= foreground.cols()){
break;
}
double opacity;
double[] finalPixelValue = new double[4];
opacity = foreground.get(fY , fX)[3];
finalPixelValue[0] = background.get(y, x)[0];
finalPixelValue[1] = background.get(y, x)[1];
finalPixelValue[2] = background.get(y, x)[2];
finalPixelValue[3] = background.get(y, x)[3];
for(int c = 0; c < output.channels(); ++c){
if(opacity > 0){
double foregroundPx = foreground.get(fY, fX)[c];
double backgroundPx = background.get(y, x)[c];
float fOpacity = (float) (opacity / 255);
finalPixelValue[c] = ((backgroundPx * ( 1.0 - fOpacity)) + (foregroundPx * fOpacity));
if(c==3){
finalPixelValue[c] = foreground.get(fY,fX)[3];
}
}
}
output.put(y, x,finalPixelValue);
}
}
}