本文整理了Java中org.opencv.core.Core.addWeighted()
方法的一些代码示例,展示了Core.addWeighted()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Core.addWeighted()
方法的具体详情如下:
包路径:org.opencv.core.Core
类名称:Core
方法名:addWeighted
[英]Calculates the weighted sum of two arrays.
The function addWeighted
calculates the weighted sum of two arrays as follows:
dst(I)= saturate(src1(I) alpha + src2(I)* beta + gamma)*
where I
is a multi-dimensional index of array elements. In case of multi-channel arrays, each channel is processed independently. The function can be replaced with a matrix expression: ``
// C++ code:
dst = src1alpha + src2beta + gamma;
Note: Saturation is not applied when the output array has the depth CV_32S
. You may even get result of an incorrect sign in the case of overflow.
[中]计算两个数组的加权和。
函数addWeighted
计算两个数组的加权和,如下所示:
dst(I)=饱和(src1(I)α+src2(I)β+γ)
其中I
是数组元素的多维索引。对于多通道阵列,每个通道都是独立处理的。该函数可以替换为矩阵表达式:``
//C++代码:
dst=src1α+src2β+γ;
注意:当输出数组的深度为CV_32S
时,不应用饱和度。在溢出的情况下,您甚至可能会得到错误符号的结果。
代码示例来源:origin: nroduit/Weasis
public static ImageCV combineTwoImages(Mat source, Mat imgOverlay, int transparency) {
Mat srcImg = Objects.requireNonNull(source);
Mat src2Img = Objects.requireNonNull(imgOverlay);
ImageCV dstImg = new ImageCV();
Core.addWeighted(srcImg, 1.0, src2Img, transparency, 0.0, dstImg);
return dstImg;
}
代码示例来源:origin: nroduit/Weasis
private MediaElement interpolateDosePlanes(int upperBoundaryIndex, int lowerBoundaryIndex, double fractionalDistance) {
MediaElement dosePlane = null;
DicomImageElement upperPlane = (DicomImageElement) this.images.get(upperBoundaryIndex);
DicomImageElement lowerPlane = (DicomImageElement) this.images.get(lowerBoundaryIndex);
// A simple linear interpolation (lerp)
Mat dosePlaneMat = new Mat();
addWeighted(lowerPlane.getImage().toMat(), 1.0 - fractionalDistance, upperPlane.getImage().toMat(), fractionalDistance, 0.0, dosePlaneMat);
//TODO: dosePlaneMat should be an image for new dosePlane MediaElement
return dosePlane;
}
代码示例来源:origin: hschott/Camdroid
protected void execute() {
out = this.rgb();
Imgproc.blur(out, this.mask, new Size(sigma_x, sigma_x));
Core.addWeighted(out, (double) alpha / 10, this.mask,
((double) beta - 10) / 10, 0, out);
}
代码示例来源:origin: us.ihmc/IHMCPerception
Core.addWeighted(thresholdMat, 1.0, mat, 1.0, 0.0, thresholdMat);
代码示例来源:origin: us.ihmc/ihmc-perception
Core.addWeighted(thresholdMat, 1.0, mat, 1.0, 0.0, thresholdMat);
代码示例来源:origin: nroduit/Weasis
public static ImageCV applyCropMask(Mat source, Rectangle b, double alpha) {
Mat srcImg = Objects.requireNonNull(source);
ImageCV dstImg = new ImageCV();
source.copyTo(dstImg);
if(b.getY() > 0) {
Imgproc.rectangle(dstImg, new Point(0.0, 0.0), new Point(dstImg.width(), b.getMinY() ), new Scalar(0), -1);
}
if(b.getX() > 0) {
Imgproc.rectangle(dstImg, new Point(0.0, b.getMinY()), new Point(b.getMinX(), b.getMaxY() ), new Scalar(0), -1);
}
if(b.getX() < dstImg.width()) {
Imgproc.rectangle(dstImg, new Point(b.getMaxX(), b.getMinY()), new Point(dstImg.width(), b.getMaxY() ), new Scalar(0), -1);
}
if(b.getY() < dstImg.height()) {
Imgproc.rectangle(dstImg, new Point(0.0, b.getMaxY()), new Point(dstImg.width(), dstImg.height() ), new Scalar(0), -1);
}
Core.addWeighted(dstImg, alpha, srcImg, 1- alpha, 0.0, dstImg);
return dstImg;
}
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