Question

我使用openCV库来检测特定颜色的对象。通过饱和度和色调来改变颜色的检测。我的问题是获取视图中显示的轮廓的x和y位置。

考虑以下图像。我需要得到黄色衬里轮廓的位置。

代码：

public class ObjRecognitionController {
// FXML camera button
@FXML
private Button cameraButton;
// the FXML area for showing the current frame
@FXML
private ImageView originalFrame;
// the FXML area for showing the mask
@FXML
private ImageView maskImage;
// the FXML area for showing the output of the morphological operations
@FXML
private ImageView morphImage;
// FXML slider for setting HSV ranges
@FXML
private Slider hueStart;
@FXML
private Slider hueStop;
@FXML
private Slider saturationStart;
@FXML
private Slider saturationStop;
@FXML
private Slider valueStart;
@FXML
private Slider valueStop;
// FXML label to show the current values set with the sliders
@FXML
private Label hsvCurrentValues;

// a timer for acquiring the video stream
private ScheduledExecutorService timer;
// the OpenCV object that performs the video capture
private VideoCapture capture = new VideoCapture();
// a flag to change the button behavior
private boolean cameraActive;

// property for object binding
private ObjectProperty<String> hsvValuesProp;

/**
 * The action triggered by pushing the button on the GUI
 */
@FXML
private void startCamera()
{
    // bind a text property with the string containing the current range of
    // HSV values for object detection
    hsvValuesProp = new SimpleObjectProperty<>();
    this.hsvCurrentValues.textProperty().bind(hsvValuesProp);

    // set a fixed width for all the image to show and preserve image ratio
    this.imageViewProperties(this.originalFrame, 400);
    this.imageViewProperties(this.maskImage, 200);
    this.imageViewProperties(this.morphImage, 200);

    if (!this.cameraActive)
    {
        // start the video capture
        this.capture.open(0);

        // is the video stream available?
        if (this.capture.isOpened())
        {
            this.cameraActive = true;

            // grab a frame every 33 ms (30 frames/sec)
            Runnable frameGrabber = new Runnable() {

                @Override
                public void run()
                {
                    Image imageToShow = grabFrame();
                    originalFrame.setImage(imageToShow);
                }
            };

            this.timer = Executors.newSingleThreadScheduledExecutor();
            this.timer.scheduleAtFixedRate(frameGrabber, 0, 33, TimeUnit.MILLISECONDS);

            // update the button content
            this.cameraButton.setText("Stop Camera");
        }
        else
        {
            // log the error
            System.err.println("Failed to open the camera connection...");
        }
    }
    else
    {
        // the camera is not active at this point
        this.cameraActive = false;
        // update again the button content
        this.cameraButton.setText("Start Camera");

        // stop the timer
        try
        {
            this.timer.shutdown();
            this.timer.awaitTermination(33, TimeUnit.MILLISECONDS);
        }
        catch (InterruptedException e)
        {
            // log the exception
            System.err.println("Exception in stopping the frame capture, trying to release the camera now... " + e);
        }

        // release the camera
        this.capture.release();
    }
}

/**
 * Get a frame from the opened video stream (if any)
 * 
 * @return the {@link Image} to show
 */
private Image grabFrame()
{
    // init everything
    Image imageToShow = null;
    Mat frame = new Mat();

    // check if the capture is open
    if (this.capture.isOpened())
    {
        try
        {
            // read the current frame
            this.capture.read(frame);

            // if the frame is not empty, process it
            if (!frame.empty())
            {
                // init
                Mat blurredImage = new Mat();
                Mat hsvImage = new Mat();
                Mat mask = new Mat();
                Mat morphOutput = new Mat();

                // remove some noise
                Imgproc.blur(frame, blurredImage, new Size(7, 7));

                // convert the frame to HSV
                Imgproc.cvtColor(blurredImage, hsvImage, Imgproc.COLOR_BGR2HSV);

                // get thresholding values from the UI
                // remember: H ranges 0-180, S and V range 0-255
                Scalar minValues = new Scalar(this.hueStart.getValue(), this.saturationStart.getValue(),
                        this.valueStart.getValue());
                Scalar maxValues = new Scalar(this.hueStop.getValue(), this.saturationStop.getValue(),
                        this.valueStop.getValue());

                // show the current selected HSV range
                String valuesToPrint = "Hue range: " + minValues.val[0] + "-" + maxValues.val[0]
                        + "\tSaturation range: " + minValues.val[1] + "-" + maxValues.val[1] + "\tValue range: "
                        + minValues.val[2] + "-" + maxValues.val[2];
                this.onFXThread(this.hsvValuesProp, valuesToPrint);

                // threshold HSV image to select tennis balls
                Core.inRange(hsvImage, minValues, maxValues, mask);
                // show the partial output
                this.onFXThread(this.maskImage.imageProperty(), this.mat2Image(mask));

                // morphological operators
                // dilate with large element, erode with small ones
                Mat dilateElement = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(24, 24));
                Mat erodeElement = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(12, 12));

                Imgproc.erode(mask, morphOutput, erodeElement);
                Imgproc.erode(mask, morphOutput, erodeElement);

                Imgproc.dilate(mask, morphOutput, dilateElement);
                Imgproc.dilate(mask, morphOutput, dilateElement);

                // show the partial output
                this.onFXThread(this.morphImage.imageProperty(), this.mat2Image(morphOutput));

                // find the tennis ball(s) contours and show them
                frame = this.findAndDrawBalls(morphOutput, frame);

                // convert the Mat object (OpenCV) to Image (JavaFX)
                imageToShow = mat2Image(frame);
            }

        }
        catch (Exception e)
        {
            // log the (full) error
            System.err.print("ERROR");
            e.printStackTrace();
        }
    }

    return imageToShow;
}

/**
 * Given a binary image containing one or more closed surfaces, use it as a
 * mask to find and highlight the objects contours
 * 
 * @param maskedImage
 *            the binary image to be used as a mask
 * @param frame
 *            the original {@link Mat} image to be used for drawing the
 *            objects contours
 * @return the {@link Mat} image with the objects contours framed
 */
private Mat findAndDrawBalls(Mat maskedImage, Mat frame) {
    // init
    List<MatOfPoint> contours = new ArrayList<>();
    Mat hierarchy = new Mat();
    // find contours
    Imgproc.findContours(maskedImage, contours, hierarchy, Imgproc.RETR_CCOMP, Imgproc.CHAIN_APPROX_SIMPLE);

    // if any contour exist...
    if (hierarchy.size().height > 0 && hierarchy.size().width > 0) {
        // for each contour, display it in yellow
        for (int idx = 0; idx >= 0; idx = (int) hierarchy.get(0, idx)[0]) {
            Imgproc.drawContours(frame, contours, idx, new Scalar(0, 255, 255));
        }
    }

    return frame;
}

/**
 * Set typical {@link ImageView} properties: a fixed width and the
 * information to preserve the original image ration
 * 
 * @param image
 *            the {@link ImageView} to use
 * @param dimension
 *            the width of the image to set
 */
private void imageViewProperties(ImageView image, int dimension) {
    // set a fixed width for the given ImageView
    image.setFitWidth(dimension);
    // preserve the image ratio
    image.setPreserveRatio(true);
}

/**
 * Convert a {@link Mat} object (OpenCV) in the corresponding {@link Image}
 * for JavaFX
 * 
 * @param frame
 *            the {@link Mat} representing the current frame
 * @return the {@link Image} to show
 */
private Image mat2Image(Mat frame) {
    // create a temporary buffer
    MatOfByte buffer = new MatOfByte();
    // encode the frame in the buffer, according to the PNG format
    Imgcodecs.imencode(".png", frame, buffer);
    // build and return an Image created from the image encoded in the
    // buffer
    return new Image(new ByteArrayInputStream(buffer.toArray()));
}

/**
 * Generic method for putting element running on a non-JavaFX thread on the
 * JavaFX thread, to properly update the UI
 * 
 * @param property
 *            a {@link ObjectProperty}
 * @param value
 *            the value to set for the given {@link ObjectProperty}
 */
private <T> void onFXThread(final ObjectProperty<T> property, final T value)
{
    Platform.runLater(new Runnable() {

        @Override
        public void run()
        {
            property.set(value);
        }
    });
}

}

Answer 1

您可以使用boundingRect() <{1}}函数获取有界矩形。OpenCV

Rect rect = Imgproc.boundingRect(contours.get(idx));

现在，您可以x和y

获得rect.x和rect.y个职位

然后，您可以在图片rect

上绘制mat

Imgproc.rectangle(mat, rect.tl(), rect.br(), color, THICKNESS=1 or 2 ...);

OpenCV对象检测轮廓位置

1 个答案: