Android调用OpenCV2.4.10实现二维码区域定位
Android上使调用OpenCV 2.4.10 实现二维码区域定位（Z-xing 码），该文章主要用于笔者自己学习中的总结，暂贴出代码部分，待以后有时间再补充算法的详细细节。
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Activity class Java 文件
package cn.hjq.android_capture;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.util.ArrayList;
import java.util.List;
import org.opencv.android.BaseLoaderCallback;
import org.opencv.android.LoaderCallbackInterface;
import org.opencv.android.OpenCVLoader;
import org.opencv.core.*;
import org.opencv.highgui.*;
import org.opencv.imgproc.*;
import org.opencv.utils.Converters;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.graphics.Matrix;
import android.hardware.Camera;
import android.hardware.Camera.AutoFocusCallback;
import android.hardware.Camera.Parameters;
import android.hardware.Camera.PictureCallback;
import android.os.Bundle;
import android.os.Environment;
import android.os.Handler;
import android.app.Activity;
import android.content.pm.ActivityInfo;
import android.view.MotionEvent;
import android.view.SurfaceHolder;
import android.view.SurfaceHolder.Callback;
import android.view.SurfaceView;
import android.view.View;
public class capture extends Activity {
private SurfaceView picSV;
private Camera camera;
private String strPicPath;
//OpenCV类库加载并初始化成功后的回调函数，在此我们不进行任何操作
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status) {
switch (status) {
case LoaderCallbackInterface.SUCCESS:{
} break;
default:{
super.onManagerConnected(status);
} break;
}
}
};
@SuppressWarnings("deprecation")
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
this.setRequestedOrientation(ActivityInfo.SCREEN_ORIENTATION_LANDSCAPE);
setContentView(R.layout.main);
picSV = (SurfaceView) findViewById(R.id.picSV);
picSV.getHolder().setType(SurfaceHolder.SURFACE_TYPE_PUSH_BUFFERS);
picSV.getHolder().addCallback(new MyCallback());
}
private class MyCallback implements Callback{
//我们在SurfaceView创建的时候就要进行打开摄像头、设置预览取景所在的SurfaceView、设置拍照的参数、开启预览取景等操作
@Override
public void surfaceCreated(SurfaceHolder holder) {
try {
camera = Camera.open();//打开摄像头
camera.setPreviewDisplay(picSV.getHolder());//设置picSV来进行预览取景
Parameters params = camera.getParameters();//获取照相机的参数
params.setPictureSize(800, 480);//设置照片的大小为800*480
params.setPreviewSize(800, 480);//设置预览取景的大小为800*480
params.setFlashMode("auto");//开启闪光灯
params.setJpegQuality(50);//设置图片质量为50
camera.setParameters(params);//设置以上参数为照相机的参数
camera.startPreview();
}
catch (IOException e) { //开始预览取景，然后我们就可以拍照了
e.printStackTrace();
}
}
@Override
public void surfaceChanged(SurfaceHolder holder, int format, int width, int height) {
}
@Override
public void surfaceDestroyed(SurfaceHolder holder) {
//当SurfaceView销毁时，我们进行停止预览、释放摄像机、垃圾回收等工作
camera.stopPreview();
camera.release();
camera = null;
}
}
public void takepic(View v){
//在我们开始拍照前，实现自动对焦
camera.autoFocus(new MyAutoFocusCallback());
}
private class MyAutoFocusCallback implements AutoFocusCallback{
@Override
public void onAutoFocus(boolean success, Camera camera) {
//开始拍照
camera.takePicture(null, null, null, new MyPictureCallback());
}
}
private class MyPictureCallback implements PictureCallback{
@Override
public void onPictureTaken(byte[] data, Camera camera) {
try {
Bitmap bitmap = BitmapFactory.decodeByteArray(data, 0, data.length);
Matrix matrix = new Matrix();
matrix.preRotate(90);
bitmap = Bitmap.createBitmap(bitmap ,0,0, bitmap.getWidth(),
bitmap.getHeight(),matrix,true);
strPicPath =
Environment.getExternalStorageDirectory()+"/1Zxing/"+System.currentTimeMillis()+".jpg";
FileOutputStream fos = new FileOutputStream( strPicPath );
bitmap.compress(Bitmap.CompressFormat.PNG, 100, fos);
fos.close();
Handler mHandler = new Handler();
mHandler.post(mRunnable);
camera.startPreview();
}
catch (Exception e) {
e.printStackTrace();
}
}
}
public boolean onTouchEvent (MotionEvent event)
{
int Action = event.getAction();
if ( 1 == Action ) {
camera.autoFocus(new MyAutoFocusCallback1());
}
return true;
}
private class MyAutoFocusCallback1 implements AutoFocusCallback {
@Override
public void onAutoFocus(boolean success, Camera camera) {
}
}
@Override
public void onResume(){
super.onResume();
//通过OpenCV引擎服务加载并初始化OpenCV类库，所谓OpenCV引擎服务即是
//OpenCV_2.4.3.2_Manager_2.4_*.apk程序包，存在于OpenCV安装包的apk目录中
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_10, this, mLoaderCallback);
}
Runnable mRunnable = new Runnable() {
public void run() {
List contours = new ArrayList();
String strMissingTime = null;
Mat srcColor = new Mat(), srcColorResize = new Mat();
Mat srcGray = new Mat(), srcGrayResize = new Mat(), srcGrayResizeThresh = new Mat();
srcGray = Highgui.imread(strPicPath, 0);
srcColor = Highgui.imread(strPicPath, 1);
Imgproc.resize(srcGray, srcGrayResize, new Size(srcGray.cols()*0.2,srcGray.rows()*0.2));
Imgproc.resize(srcColor, srcColorResize, new Size(srcGray.cols()*0.2,srcGray.rows()*0.2));
long start = System.currentTimeMillis();
//二值化加轮廓寻找
Imgproc.adaptiveThreshold(srcGrayResize, srcGrayResizeThresh, 255,
Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C,
Imgproc.THRESH_BINARY, 35, 5);
Imgproc.findContours(srcGrayResizeThresh, contours, new Mat(),
Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_NONE);
long end = System.currentTimeMillis();
strMissingTime = String.valueOf( end - start );
strMissingTime = strMissingTime + "\r";
//轮廓绘制
for ( int i = contours.size()-1; i >= 0; i-- )
{
MatOfPoint2f NewMtx = new MatOfPoint2f( contours.get(i).toArray() );
RotatedRect rotRect = Imgproc.minAreaRect( NewMtx );
Point vertices[] = new Point[4];
rotRect.points(vertices);
List rectArea = new ArrayList();
for ( int n = 0; n < 4; n ++ )
{
Point temp = new Point();
temp.x = vertices[n].x;
temp.y = vertices[n].y;
rectArea.add(temp);
}
Mat rectMat = Converters.vector_Point_to_Mat(rectArea);
double minRectArea = Imgproc.contourArea( rectMat );
Point center = new Point();
float radius[] = {0};
Imgproc.minEnclosingCircle(NewMtx, center, radius);
if(
Imgproc.contourArea( contours.get(i)) < 300 ||
Imgproc.contourArea( contours.get(i)) > 3000
|| minRectArea < radius[0]*radius[0]*1.57
) contours.remove(i);
}
Imgproc.drawContours(srcColorResize, contours, -1, new Scalar(255,0,0));
Highgui.imwrite(Environment.getExternalStorageDirectory()+"/1Zxing/"
+System.currentTimeMillis()+"contour.jpg", srcColorResize);
File file=new File(Environment.getExternalStorageDirectory()+"/1Zxing/","log.txt");
BufferedWriter out = null;
try {
out = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(file, true)));
out.write(strMissingTime);
out.close();
}
catch (Exception e) {
e.printStackTrace();
}
}
};
}
layout.xml 文件
string.xml 文件
Code Take picture button
style.xml 文件（理论上是可以自动生成，若自动生成内容有错，可以参考）
AndroidManifest.xml 文件
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持创新互联。
本文标题：Android调用OpenCV2.4.10实现二维码区域定位
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