本文整理了Java中org.opencv.imgproc.Imgproc.cornerHarris_1()方法的一些代码示例，展示了Imgproc.cornerHarris_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.cornerHarris_1()方法的具体详情如下：
包路径：org.opencv.imgproc.Imgproc
类名称：Imgproc
方法名：cornerHarris_1
暂无
代码示例来源：origin: kongqw/OpenCVForAndroid
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: leadrien/opencv_native_androidstudio
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: nroduit/Weasis
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: SouvDc/face-detection
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: farkam135/GoIV
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: tz28/Chinese-number-gestures-recognition
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: InnoFang/Android-Code-Demos
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: DuckDeck/AndroidDemo
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: KePeng1019/SmartPaperScan
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: hschott/Camdroid
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: imistyrain/EasyPR4Android
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: ctodobom/OpenCV-3.1.0-Android
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: SOFTPOWER1991/OpenCVCheck
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: akshika47/OpencvAndroid
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: raulh82vlc/Image-Detection-Samples
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: jtsky/EasyPR_Android
/**
* <p>Harris edge detector.</p>
*
* <p>The function runs the Harris edge detector on the image. Similarly to
* "cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
* y)</em> it calculates a <em>2x2</em> gradient covariance matrix
* <em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
* it computes the following characteristic:</p>
*
* <p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
*
* <p>Corners in the image can be found as the local maxima of this response map.</p>
*
* @param src Input single-channel 8-bit or floating-point image.
* @param dst Image to store the Harris detector responses. 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.
* @param k Harris detector free parameter. See the formula below.
*
* @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a>
*/
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: ytai/IOIOPlotter
/**
* <p>Harris edge detector.</p>
*
* <p>The function runs the Harris edge detector on the image. Similarly to
* "cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
* y)</em> it calculates a <em>2x2</em> gradient covariance matrix
* <em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
* it computes the following characteristic:</p>
*
* <p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
*
* <p>Corners in the image can be found as the local maxima of this response map.</p>
*
* @param src Input single-channel 8-bit or floating-point image.
* @param dst Image to store the Harris detector responses. 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.
* @param k Harris detector free parameter. See the formula below.
*
* @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a>
*/
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: nu.pattern/opencv
/**
* <p>Harris edge detector.</p>
*
* <p>The function runs the Harris edge detector on the image. Similarly to
* "cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
* y)</em> it calculates a <em>2x2</em> gradient covariance matrix
* <em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
* it computes the following characteristic:</p>
*
* <p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
*
* <p>Corners in the image can be found as the local maxima of this response map.</p>
*
* @param src Input single-channel 8-bit or floating-point image.
* @param dst Image to store the Harris detector responses. 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.
* @param k Harris detector free parameter. See the formula below.
*
* @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a>
*/
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: com.sikulix/sikulixapi
/**
* <p>Harris edge detector.</p>
*
* <p>The function runs the Harris edge detector on the image. Similarly to
* "cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
* y)</em> it calculates a <em>2x2</em> gradient covariance matrix
* <em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
* it computes the following characteristic:</p>
*
* <p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
*
* <p>Corners in the image can be found as the local maxima of this response map.</p>
*
* @param src Input single-channel 8-bit or floating-point image.
* @param dst Image to store the Harris detector responses. 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.
* @param k Harris detector free parameter. See the formula below.
*
* @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a>
*/
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
}代码示例来源：origin: abhn/marvel
/**
* <p>Harris edge detector.</p>
*
* <p>The function runs the Harris edge detector on the image. Similarly to
* "cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
* y)</em> it calculates a <em>2x2</em> gradient covariance matrix
* <em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
* it computes the following characteristic:</p>
*
* <p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
*
* <p>Corners in the image can be found as the local maxima of this response map.</p>
*
* @param src Input single-channel 8-bit or floating-point image.
* @param dst Image to store the Harris detector responses. 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.
* @param k Harris detector free parameter. See the formula below.
*
* @see <a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a>
*/
public static void cornerHarris(Mat src, Mat dst, int blockSize, int ksize, double k)
{
cornerHarris_1(src.nativeObj, dst.nativeObj, blockSize, ksize, k);
return;
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