android - 在 Android 应用程序中更改对象的颜色

Question

基本上我的目标是实时更改对象的颜色以进行油漆应用。为了实现这个目标，我遵循以下概念:

1. 我使用了 canny() 方法来查找对象。
2. 使用 findContours() 进行边缘检测。
3. 使用 drawContours() 为对象着色。

如果有实现目标所需的任何其他概念，请 向我建议。我试过但没有得到精确的轮廓边缘。

原始输入:

预期输出:

当前输出:

I am getting image in gray scale but i want in rgb mode.

这是我的代码:

package com.example.imageprocess;

import java.util.ArrayList;
import java.util.List;

import org.opencv.android.BaseLoaderCallback;
import org.opencv.android.CameraBridgeViewBase;
import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;
import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;
import org.opencv.android.LoaderCallbackInterface;
import org.opencv.android.OpenCVLoader;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;

import android.app.Activity;
import android.os.Bundle;
import android.util.Log;
import android.view.WindowManager;

public class MainActivity extends Activity implements CvCameraViewListener2 {

        private Mat                    mRgba;
        private Mat                    mIntermediateMat;
        private Mat                    mGray;

        private CameraBridgeViewBase   mOpenCvCameraView;

        private BaseLoaderCallback  mLoaderCallback = new BaseLoaderCallback(this) {
            @Override
            public void onManagerConnected(int status) {
                switch (status) {
                    case LoaderCallbackInterface.SUCCESS:
                    {
                        Log.i("OPENCVACTIVITY", "OpenCV loaded successfully");

                        // Load native library after(!) OpenCV initialization
                       // System.loadLibrary("mixed_sample");

                        mOpenCvCameraView.enableView();
                    } break;
                    default:
                    {
                        super.onManagerConnected(status);
                    } break;
                }
            }
        };

       /* public MainActivity() {
            Log.i("OPENCVACTIVITY", "Instantiated new " + this.getClass());
        }
*/
    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
          getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);

            setContentView(R.layout.activity_main);

            mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.tutorial2_activity_surface_view);
            mOpenCvCameraView.setCvCameraViewListener(this);
    }



    @Override
    public void onPause()
    {
        super.onPause();
        if (mOpenCvCameraView != null)
            mOpenCvCameraView.disableView();
    }

    @Override
    public void onResume()
    {
        super.onResume();
        OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
    }

    public void onDestroy() {
        super.onDestroy();
        if (mOpenCvCameraView != null)
            mOpenCvCameraView.disableView();
    }

    @Override
    public void onCameraViewStarted(int width, int height) {
        // TODO Auto-generated method stub
         mRgba = new Mat(height, width, CvType.CV_8UC4);
            mIntermediateMat = new Mat(height, width, CvType.CV_8UC4);
            mGray = new Mat(height, width, CvType.CV_8UC1);

    }

    @Override
    public void onCameraViewStopped() {
         mRgba.release();
            mGray.release();
            mIntermediateMat.release();

    }

    @Override
    public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
        Mat gaussian_output = new Mat();
         mRgba = inputFrame.rgba();
         Imgproc.Canny(inputFrame.gray(), mIntermediateMat, 80, 100);
         Imgproc.cvtColor(mIntermediateMat, mRgba, Imgproc.COLOR_YUV2RGBA_NV21, 4);
         Imgproc.GaussianBlur(mIntermediateMat, gaussian_output, new Size(5, 5), 5);
         List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
         Imgproc.findContours( gaussian_output, contours, new Mat(),Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0,0) );
         Scalar color = new Scalar(165, 30, 215);
        // Imgproc.drawContours(gaussian_output, contours, -1, color, 3);
         Mat hierarchy = new Mat();
      // find contours:
      Imgproc.findContours(gaussian_output, contours, hierarchy, Imgproc.RETR_TREE,Imgproc.CHAIN_APPROX_SIMPLE);
      for (int contourIdx = 0; contourIdx < contours.size(); contourIdx++) {
          Imgproc.drawContours(gaussian_output, contours, contourIdx,color, -1);
      }

        return gaussian_output;
    }


}

Answer 1

我相信你犯了将灰度图像移动到彩色图像的错误。

尝试: Imgproc.cvtColor(mRgba, mIntermediateMat, Imgproc.COLOR_YUV2RGBA_NV21, 4); 代替: Imgproc.cvtColor(mIntermediateMat, mRgba, Imgproc.COLOR_YUV2RGBA_NV21, 4);