本文整理了Java中org.opencv.core.Core.merge()方法的一些代码示例，展示了Core.merge()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.merge()方法的具体详情如下：
包路径：org.opencv.core.Core
类名称：Core
方法名：merge

Core.merge介绍

[英]Creates one multichannel array out of several single-channel ones.

The functions merge merge several arrays to make a single multi-channel array. That is, each element of the output array will be a concatenation of the elements of the input arrays, where elements of i-th input array are treated as mv[i].channels()-element vectors.

The function "split" does the reverse operation. If you need to shuffle channels in some other advanced way, use "mixChannels".
[中]从多个单通道阵列中创建一个多通道阵列。
函数merge将多个阵列合并为一个多通道阵列。也就是说，输出数组的每个元素都是输入数组元素的串联，其中第i个输入数组的元素被视为mv[i].channels()-元素向量。
函数“split”执行相反的操作。如果您需要以其他高级方式洗牌频道，请使用“混合频道”。

代码示例

代码示例来源：origin: RaiMan/SikuliX2

private Mat makeContent() {
 if (hasMask()) {
  Mat mBGRA = getNewMat(mask.size(), 4, -1);
  List<Mat> mats = new ArrayList<>();
  mats.add(content);
  mats.add(mask);
  Core.merge(mats, mBGRA);
  return mBGRA;
 } else {
  return content;
 }
}

代码示例来源：origin: RaiMan/SikuliX2

private Mat matMulti(Mat mat, int channels) {
 if (mat.type() != CvType.CV_8UC1 || mat.channels() == channels) {
  return mat;
 }
 List<Mat> listMat = new ArrayList<>();
 for (int n = 0; n < channels; n++) {
  listMat.add(mat);
 }
 Mat mResult = Element.getNewMat();
 Core.merge(listMat, mResult);
 return mResult;
}

代码示例来源：origin: RaiMan/SikuliX2

public Mat getContentBGRA() {
 if (!hasMask()) {
  Mat mBGRA = getNewMat(mask.size(), 4, -1);
  List<Mat> mats = new ArrayList<>();
  mats.add(content);
  mats.add(getNewMat(content.size(), 1, 255));
  Core.merge(mats, mBGRA);
  return mBGRA;
 }
 return getContent(null);
}

代码示例来源：origin: RaiMan/SikuliX2

Core.split(aMat, mats);
 mats.add(mats.remove(0));
 Core.merge(mats, mBGRA);
 return mBGRA;
} else if (bImg.getType() == BufferedImage.TYPE_BYTE_GRAY) {

代码示例来源：origin: RaiMan/SikuliX2

private List<Mat> checkMat(Mat mat) {
 List<Mat> mats = new ArrayList<>();
 if (CvType.CV_8UC1 == mat.type() || CvType.CV_8UC3 == mat.type()) {
  mats.add(mat);
 } else if (CvType.CV_8UC4 == mat.type()) {
  List<Mat> matsBGRA = new ArrayList<>();
  Core.split(mat, matsBGRA);
  Mat mBGR = new Mat(mat.size(), CvType.CV_8UC3);
  Mat matA = matsBGRA.remove(3);
  Core.merge(matsBGRA, mBGR);
  mats.add(mBGR);
  MatOfDouble mStdDev = new MatOfDouble();
  Core.meanStdDev(matA, new MatOfDouble(), mStdDev);
  if (0 < mStdDev.toArray()[0]) {
   mats.add(matA);
  }
 }
 return mats;
}

代码示例来源：origin: RaiMan/SikuliX2

mBGRA.add(mMask);
Mat mResult = new Mat(mMask.size(), CvType.CV_8UC4);
Core.merge(mBGRA, mResult);
shotMasked = new Picture(mResult);
resizeToFrame(shotMasked);

代码示例来源：origin: nroduit/Weasis

public static ImageCV applyLUT(Mat source, byte[][] lut) {
  Mat srcImg = Objects.requireNonNull(source);
  int lutCh = Objects.requireNonNull(lut).length;
  Mat lutMat;
  if (lutCh > 1) {
    lutMat = new Mat();
    List<Mat> luts = new ArrayList<>(lutCh);
    for (int i = 0; i < lutCh; i++) {
      Mat l = new Mat(1, 256, CvType.CV_8U);
      l.put(0, 0, lut[i]);
      luts.add(l);
    }
    Core.merge(luts, lutMat);
    if (srcImg.channels() < lut.length) {
      Imgproc.cvtColor(srcImg.clone(), srcImg, Imgproc.COLOR_GRAY2BGR);
    }
  } else {
    lutMat = new Mat(1, 256, CvType.CV_8UC1);
    lutMat.put(0, 0, lut[0]);
  }
  ImageCV dstImg = new ImageCV();
  Core.LUT(srcImg, lutMat, dstImg);
  return dstImg;
}

代码示例来源：origin: nroduit/Weasis

List<Mat> mv = toBGR ? Arrays.asList(b, g, r) : Arrays.asList(r, g, b);
ImageCV dstImg = new ImageCV(raster.getHeight(), raster.getWidth(), CvType.CV_8UC3);
Core.merge(mv, dstImg);
return dstImg;

代码示例来源：origin: JavaOpenCVBook/code

matList.add(zeroMat);
Mat complexImage = new Mat();
Core.merge(matList, complexImage);