org.opencv.imgproc.Imgproc.cornerMinEigenVal_1()方法的使用及代码示例

x33g5p2x  于2022-01-21 转载在 其他  
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本文整理了Java中org.opencv.imgproc.Imgproc.cornerMinEigenVal_1()方法的一些代码示例，展示了Imgproc.cornerMinEigenVal_1()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。Imgproc.cornerMinEigenVal_1()方法的具体详情如下：
包路径：org.opencv.imgproc.Imgproc
类名称：Imgproc
方法名：cornerMinEigenVal_1

Imgproc.cornerMinEigenVal_1介绍

暂无

代码示例

代码示例来源：origin: farkam135/GoIV

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: hschott/Camdroid

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: kongqw/OpenCVForAndroid

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: akshika47/OpencvAndroid

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: KePeng1019/SmartPaperScan

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: leadrien/opencv_native_androidstudio

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: tz28/Chinese-number-gestures-recognition

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: imistyrain/EasyPR4Android

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: ctodobom/OpenCV-3.1.0-Android

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: SOFTPOWER1991/OpenCVCheck

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: SouvDc/face-detection

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: DuckDeck/AndroidDemo

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: InnoFang/Android-Code-Demos

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: nroduit/Weasis

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: raulh82vlc/Image-Detection-Samples

public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
{
  
  cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);
  
  return;
}

代码示例来源：origin: ytai/IOIOPlotter

/**
 * <p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
 *
 * <p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
 * stores only the minimal eigenvalue of the covariance matrix of derivatives,
 * that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
 * "cornerEigenValsAndVecs" description.</p>
 *
 * @param src Input single-channel 8-bit or floating-point image.
 * @param dst Image to store the minimal eigenvalues. It has the type
 * <code>CV_32FC1</code> and the same size as <code>src</code>.
 * @param blockSize Neighborhood size (see the details on "cornerEigenValsAndVecs").
 * @param ksize Aperture parameter for the "Sobel" operator.
 *
 * @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a>
 */
  public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
  {

    cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);

    return;
  }

代码示例来源：origin: com.sikulix/sikulixapi

/**
 * <p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
 *
 * <p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
 * stores only the minimal eigenvalue of the covariance matrix of derivatives,
 * that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
 * "cornerEigenValsAndVecs" description.</p>
 *
 * @param src Input single-channel 8-bit or floating-point image.
 * @param dst Image to store the minimal eigenvalues. It has the type
 * <code>CV_32FC1</code> and the same size as <code>src</code>.
 * @param blockSize Neighborhood size (see the details on "cornerEigenValsAndVecs").
 * @param ksize Aperture parameter for the "Sobel" operator.
 *
 * @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a>
 */
  public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
  {

    cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);

    return;
  }

代码示例来源：origin: abhn/marvel

/**
 * <p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
 *
 * <p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
 * stores only the minimal eigenvalue of the covariance matrix of derivatives,
 * that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
 * "cornerEigenValsAndVecs" description.</p>
 *
 * @param src Input single-channel 8-bit or floating-point image.
 * @param dst Image to store the minimal eigenvalues. It has the type
 * <code>CV_32FC1</code> and the same size as <code>src</code>.
 * @param blockSize Neighborhood size (see the details on "cornerEigenValsAndVecs").
 * @param ksize Aperture parameter for the "Sobel" operator.
 *
 * @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a>
 */
  public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
  {

    cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);

    return;
  }

代码示例来源：origin: nu.pattern/opencv

/**
 * <p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
 *
 * <p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
 * stores only the minimal eigenvalue of the covariance matrix of derivatives,
 * that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
 * "cornerEigenValsAndVecs" description.</p>
 *
 * @param src Input single-channel 8-bit or floating-point image.
 * @param dst Image to store the minimal eigenvalues. It has the type
 * <code>CV_32FC1</code> and the same size as <code>src</code>.
 * @param blockSize Neighborhood size (see the details on "cornerEigenValsAndVecs").
 * @param ksize Aperture parameter for the "Sobel" operator.
 *
 * @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a>
 */
  public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
  {

    cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);

    return;
  }

代码示例来源：origin: jtsky/EasyPR_Android

/**
 * <p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
 *
 * <p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
 * stores only the minimal eigenvalue of the covariance matrix of derivatives,
 * that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
 * "cornerEigenValsAndVecs" description.</p>
 *
 * @param src Input single-channel 8-bit or floating-point image.
 * @param dst Image to store the minimal eigenvalues. It has the type
 * <code>CV_32FC1</code> and the same size as <code>src</code>.
 * @param blockSize Neighborhood size (see the details on "cornerEigenValsAndVecs").
 * @param ksize Aperture parameter for the "Sobel" operator.
 *
 * @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a>
 */
  public static void cornerMinEigenVal(Mat src, Mat dst, int blockSize, int ksize)
  {

    cornerMinEigenVal_1(src.nativeObj, dst.nativeObj, blockSize, ksize);

    return;
  }

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