SLIC超像素标签opencv

时间:2018-10-18 12:38:57

标签: android opencv superpixels

在输入图像上应用SLIC superpixel之后,我需要从红色,蓝色和绿色通道中获取标签的最大值。

我编写了这段代码,首先我应用了SLIC Superpixel,然后使用split命令获得了3个通道。然后,我使用了Core.minMaxLoc命令。

我的问题是,Core.minMaxLoc返回的最大值是像素或标签的最大值?因为我需要从标签而不是像素中提取最大值。

这是我的代码:

public class MainActivity extends AppCompatActivity {

private static final String TAG = "3:qinQctivity";
Button button;
ImageView imageView,imageView_red,imageView_blue,imageView_green;
TextView textView,mean_text;
Double Max_Red,Max_Green,Max_Blue;

Mat newImage,newMat,mask,labels,BGR_RGB,Blue,Green,Red;
ArrayList<Mat> RGB = new ArrayList<Mat>(3);



@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);
    button = findViewById(R.id.button);
    imageView = findViewById(R.id.image);
    imageView_red = findViewById(R.id.image_red);
    imageView_blue = findViewById(R.id.image_blue);
    imageView_green = findViewById(R.id.image_green);
    textView = findViewById(R.id.textView);
    mean_text = findViewById(R.id.textView2);



    button.setOnClickListener(new View.OnClickListener() {
        @Override
        public void onClick(View view) {

            if (!OpenCVLoader.initDebug()) {
                OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_4_0, getApplicationContext(), baseLoaderCallback);
            } else {

                baseLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);
            }
        }
    });

}
BaseLoaderCallback baseLoaderCallback = new BaseLoaderCallback(this) {
    @Override
    public void onManagerConnected(int status) {
        super.onManagerConnected(status);
        if (status == LoaderCallbackInterface.SUCCESS) {
            try {
                newImage = new Mat();
                newMat = new Mat();
                labels = new Mat();
                BGR_RGB = new Mat();


                BGR_RGB = Utils.loadResource(getApplicationContext(), R.drawable.retinalimage, CvType.CV_32FC3);
                Imgproc.cvtColor(BGR_RGB,newImage,Imgproc.COLOR_BGR2RGB);

                SuperpixelSLIC x = Ximgproc.createSuperpixelSLIC(newImage, Ximgproc.SLIC, 50, (float) 0.001);
                x.iterate(5);
                if (true){
                    x.enforceLabelConnectivity(20);
                }

                mask = new Mat();
                x.getLabelContourMask(mask, true);
                newImage.setTo(new Scalar(0, 0, 255), mask);

                showImage(newImage);
                labels = new Mat();
                x.getLabels(labels);

                //count the number of the superpixel segmented regions
                int a = x.getNumberOfSuperpixels();

                // working on the Red, Blue and green channel
                Core.split(newImage,RGB);
                Red = RGB.get(0);
                Green = RGB.get(1);
                Blue = RGB.get(2);

                Max_Red = Core.minMaxLoc(Red).maxVal;
                Max_Green = Core.minMaxLoc(Green).maxVal;
                Max_Blue = Core.minMaxLoc(Blue).maxVal;


                Scalar P = Core.mean(newImage);
                textView.setText(String.valueOf(P));
                mean_text.setText(String.valueOf(P));
                showImage(newImage);

            } catch (IOException e) {

                e.printStackTrace();

            }


        }

    }

} ;

0 个答案:

没有答案
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