上文中讲述了两种在android平台中使用opencv的办法，这里我将使用的是opencvforandroid的方法，也就是直接使用opencv提供的Java的API，这种方法对开发者来说是比较简单省事的。由于算法原理在《银行卡号识别》中已经阐述过，这里不再详细介绍，直接上关键代码！
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activity_main.xml
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android" xmlns:tools="http://schemas.android.com/tools" android:layout_width="match_parent" android:layout_height="match_parent" android:background="@drawable/backgroud" android:paddingBottom="@dimen/activity_vertical_margin" android:paddingLeft="@dimen/activity_horizontal_margin" android:paddingRight="@dimen/activity_horizontal_margin" android:paddingTop="@dimen/activity_vertical_margin" tools:context="com.example.test.MainActivity" > <!-- android:background="@drawable/bank" --> <ImageView android:id="@+id/img_huaishi" android:layout_width="250dp" android:layout_height="160dp" android:layout_alignParentTop="true" android:layout_marginTop="208dp" android:layout_marginLeft="41dp" /> <Button android:id = "@+id/btn_gray_process" android:layout_width = "70dp" android:layout_height = "70dp" android:background="@drawable/xiangji" android:layout_below = "@id/img_huaishi" android:layout_marginLeft="45dp" android:layout_marginTop="47dp" /> <Button android:id = "@+id/btn_pic" android:layout_width = "70dp" android:layout_height = "70dp" android:background="@drawable/pic" android:layout_below = "@id/img_huaishi" android:layout_marginLeft="197dp" android:layout_marginTop="47dp" /> <!-- <ImageView android:id="@+id/title" android:layout_width="220dp" android:layout_height="wrap_content" android:layout_alignParentRight="false" android:layout_alignParentTop="true" android:background="@drawable/title" /> --> <TextView android:id="@+id/mttext" android:layout_width="wrap_content" android:layout_height="40dp" android:layout_below="@+id/btn_pic" android:layout_marginTop="27dp" android:text="*******************" android:textColor="@android:color/black" android:textSize="45px" android:layout_marginLeft="50dp" android:textStyle="bold" /></RelativeLayout>
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效果预览图（图片效果请自行下载图片添加）：
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MainActivity.java
package com.example.test;import java.io.File;import org.opencv.android.BaseLoaderCallback;import org.opencv.android.OpenCVLoader;import org.opencv.android.Utils;import org.opencv.core.CvType;import org.opencv.core.Mat;import org.opencv.core.Rect;import org.opencv.core.Size;import org.opencv.imgproc.Imgproc;import org.opencv.ml.CvKNearest;import android.annotation.SuppressLint;import android.app.Activity;import android.content.ClipData;import android.content.ClipboardManager;import android.content.Intent;import android.content.pm.ApplicationInfo;import android.database.Cursor;import android.graphics.Bitmap;import android.graphics.Bitmap.Config;import android.graphics.BitmapFactory;import android.net.Uri;import android.os.Bundle;import android.os.Environment;import android.provider.MediaStore;import android.util.Log;import android.view.Menu;import android.view.View;import android.view.View.OnClickListener;import android.widget.Button;import android.widget.ImageView;import android.widget.TextView;import android.widget.Toast;@SuppressLint("NewApi") public class MainActivity extends Activity { //手机相册or手机相机相关参数 private static int RESULT_LOAD_IMAGE = 1; int hehe = 0; int jisuan = 0; int error = 0; Button btnPic; Button btnProcess; Bitmap srcBitmap; Bitmap grayBitmap; Bitmap tempBitmap; ImageView imgHuaishi; private static boolean flag = false ; private static boolean isFirst = true ; private static final String TAG = "MyLogcat" ; int numX1 = 0, numX2 = 0; int aa[], bb[]; int bankX[];//19个银行卡号的位置信息----x int bankNum[];//19个银行卡号 int classes = 10, train_samples = 1, K = 1; int new_width = 32; int new_height = 32; CvKNearest knn; Mat trainData, trainClasses; //OpenCV库加载并初始化成功后的回调函数 private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback( this ) { @Override public void onManagerConnected( int status) { // TODO Auto-generated method stub switch (status){ case BaseLoaderCallback.SUCCESS: Log.i(TAG, "成功加载" ); break ; default : super .onManagerConnected(status); Log.i(TAG, "加载失败" ); break ; } } }; @Override protected void onCreate(Bundle savedInstanceState) { super .onCreate(savedInstanceState); setContentView(R.layout.activity_main); initUI(); //procSrc2Gray(); pretreatment();//测试用 btnProcess.setOnClickListener( new ProcessClickListener()); btnPic.setOnClickListener( new ProcessPicClickListener()); } @Override public boolean onCreateOptionsMenu(Menu menu) { getMenuInflater().inflate(R.menu.main, menu); return true ; } public void initUI(){ btnProcess = (Button)findViewById(R.id.btn_gray_process); btnPic = (Button)findViewById(R.id.btn_pic); imgHuaishi = (ImageView)findViewById(R.id.img_huaishi); Log.i(TAG, "initUI sucess..." ); aa = new int[18]; bb = new int[18]; for(int i = 0; i < 18; ++i) { aa[i] = 0; bb[i] = 0; } bankX = new int[18]; bankNum = new int[18]; tempBitmap = getRes("shuai"); this.imgHuaishi.setImageBitmap(tempBitmap); } public Bitmap getRes(String name) {//获得res文件夹下的图片，得到bmp图片 ApplicationInfo appInfo = getApplicationInfo(); int resID = getResources().getIdentifier(name, "drawable", appInfo.packageName); return BitmapFactory.decodeResource(getResources(), resID); } void getData() {//训练集的生成与保存 Mat src_image = new Mat(); Mat prs_image = new Mat(new Size(new_width, new_height),CvType.CV_8UC1); //Mat prs_image = new Mat(); Mat row = new Mat(),data = new Mat(),rowb = new Mat(),datab = new Mat(); int x,y; int c = 0; int cc = 0; int i,j,k = 0; int m = 0,n = 0; for (m = 0; m < classes; m++) { for (n = 0; n < train_samples; n++) { String name = "a" + String.valueOf(m) + String.valueOf(n); Bitmap bmp = getRes(name); if (bmp == null) { System.out.println("NULL Image"); } Utils.bitmapToMat(bmp, src_image); /*src_image = Highgui.imread("/assets/a00.bmp"); if (src_image == null) { System.out.println("NULL Image"); }*/ //System.out.println(String.valueOf(src_image.width())); //System.out.println(String.valueOf(src_image.channels())); Mat grayMat = new Mat(); //灰度图 Mat binaryMat = new Mat(); //二值化图 Mat mytemp = new Mat(new Size(new_width, new_height),CvType.CV_8U); Imgproc.cvtColor(src_image, grayMat, Imgproc.COLOR_RGBA2GRAY); //rgbMat to gray grayMat Imgproc.threshold(grayMat, binaryMat, 100, 255, Imgproc.THRESH_BINARY);//二值化 //binaryMat = changeMat(binaryMat); binaryMat.copyTo(prs_image); Imgproc.resize(prs_image, mytemp, new Size(new_width, new_height)); float imgData[] = new float[1]; imgData[0] = (float)m; trainClasses.put(m * train_samples + n, 0, imgData);//trainClasses存入数据,注意trainClasses是32位浮点数 Mat img = new Mat(new Size(mytemp.width(), mytemp.height()),CvType.CV_32FC1); mytemp.convertTo(img, CvType.CV_32FC1, 0.0039215); //prs_image.copyTo(img); img = img.reshape(0, 1); //Mat2IntArr(img); float tempData[] = new float[img.cols()]; img.get(0, 0, tempData); //Mat2IntArr(binaryMat); trainData.put(m*train_samples + n, 0, tempData); //grayBitmap = Bitmap.createBitmap(prs_image.width(), prs_image.height(), Config.RGB_565); //grayBitmap.setPixels(result, 0, w, 0, 0, w, h); //Utils.matToBitmap(prs_image, grayBitmap); //convert mat to bitmap } } //Mat2IntArr(trainData); } float do_ocr(Mat mat) { Mat pimage = new Mat(); Mat data = new Mat(); Imgproc.resize(mat, pimage, new Size(new_width, new_height)); Mat image = new Mat(new Size(pimage.width(), pimage.height()),CvType.CV_32FC1); pimage.convertTo(image, CvType.CV_32FC1, 0.0039215); //Mat2IntArr(image); data = image.reshape(0, 1); Mat nearest = new Mat(new Size(K, 1), CvType.CV_32FC1); Mat results = new Mat(); Mat dists = new Mat(); //Mat2IntArr(data); float res = knn.find_nearest(data, K, results, nearest, dists); return res; } void sortBankNum()//对银行卡进行排序 { int i,j,temp; for(j=0;j<=17;j++) { for (i=0;i<17-j;i++) if (bankX[i]>bankX[i+1]) { temp=bankX[i]; bankX[i]=bankX[i+1]; bankX[i+1]=temp; temp=bankNum[i]; bankNum[i]=bankNum[i+1]; bankNum[i+1]=temp; } } /*bankNum[0] = 6; bankNum[1] = 2; bankNum[2] = 2; bankNum[3] = 8; bankNum[4] = 4; bankNum[5] = 8;*/ } Mat Filter(Mat imgSrc, Mat src, int t2) {//过滤图像 int a = 0, b = 0;//保存有效行号 int h = 0; int state = 0;//标志位，0则表示还未到有效行，1则表示到了有效行,2表示搜寻完毕 for (int y = 0; y < imgSrc.height(); y++) { int count = 0; for (int x = 0; x < imgSrc.width(); x++) { //System.out.println("ok"); byte[] data = new byte[1]; imgSrc.get(y, x, data); //System.out.println("ok2"); if (data[0] == 0) count = count + 1; } if (state == 0)//还未到有效行 { if (count >= 10)//找到了有效行 {//有效行允许十个像素点的噪声 a = y; state = 1; } } else if (state == 1) { if (count <= 10)//找到了有效行 {//有效行允许十个像素点的噪声 b = y; state = 2; } } } numX1 = a; numX2 = b; System.out.println(Integer.toString(a)); System.out.println(Integer.toString(b)); if (b - a > 10) { Rect roi = new Rect(0, a, src.width(), b - a); //Mat res = cvCreateImage(cvSize(roi.width, roi.height), 8, 1); Mat res = new Mat(new Size(roi.width, roi.height),CvType.CV_8UC1); //IplImage *orig = cvCreateImage(cvSize(roi.width, roi.height), 8, 1); Mat orig = new Mat(new Size(roi.width, roi.height),CvType.CV_8UC1); //cvSetImageROI(src, roi); byte[] data = new byte[roi.width * roi.height]; src.get(a, 0, data); orig.put(0, 0, data); Imgproc.threshold(orig, res, t2, 255, Imgproc.THRESH_BINARY);//二值化 55 /*Size size = new Size(3, 3); Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, size); Imgproc.erode(res, res, element);//腐蚀图像 */ int newW = (int)(res.width()/3); int newW2 = (int)(2 * res.width()/3); Mat temp = new Mat(new Size(newW2, res.height()),CvType.CV_8UC1); byte[] Tempdata = new byte[newW2]; for (int i = 0; i < res.height(); ++i) { res.get(i, newW, Tempdata); temp.put(i, 0, Tempdata); } System.out.println("矩阵赋值成功了！"); System.out.println(String.valueOf(temp.cols())+"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA" +String.valueOf(temp.rows())); tempBitmap = Bitmap.createBitmap(temp.cols(), temp.rows(), Config.RGB_565); Utils.matToBitmap(temp, tempBitmap); //this.imgHuaishi.setImageBitmap(tempBitmap); //return res; return temp; } else return null; } void coutIntArr(int[] temp, int[] temp2) { for (int i = 0; i < temp.length; ++i) { System.out.println(String.valueOf(temp[i])+ "+" + String.valueOf(temp2[i])); } } public Mat cutMat(Mat imgSrc) { int a = 0, b = 0;//保存有效行号 int h = 0; int state = 0;//标志位，0则表示还未到有效行，1则表示到了有效行,2表示搜寻完毕 for (int y = 0; y < imgSrc.height(); y++) { int count = 0; for (int x = 0; x < imgSrc.width(); x++) { //System.out.println("ok"); byte[] data = new byte[1]; imgSrc.get(y, x, data); //System.out.println("ok2"); if (data[0] == 0) count = count + 1; } if (state == 0)//还未到有效行 { if (count >= 10)//找到了有效行 {//有效行允许十个像素点的噪声 a = y; state = 1; } } else if (state == 1) { if (count <= 3)//找到了有效行 {//有效行允许十个像素点的噪声 b = y; state = 2; break; } } } Log.i("MyLogcat", "开始截取图片"+String.valueOf(imgSrc.width())+"+"+ String.valueOf(b - a)); Rect roi = new Rect(0, a, imgSrc.width(), b - a); Mat res = new Mat(new Size(roi.width, roi.height),CvType.CV_8UC1); res = imgSrc.submat(roi); Log.i("MyLogcat", "截取成功"); if (hehe == 5) { //tempBitmap = Bitmap.createBitmap(res.cols(), res.rows(), Config.RGB_565); //Utils.matToBitmap(res, tempBitmap); //this.imgHuaishi.setImageBitmap(tempBitmap); } return res; } public int procSrc2Gray(int t, int t2){ Mat rgbMat = new Mat(); //原图 Mat grayMat = new Mat(); //灰度图 Mat binaryMat = new Mat(); //二值化图 Mat erode = new Mat(); Mat last = new Mat(); //srcBitmap = BitmapFactory.decodeResource(getResources(), R.drawable.a2); //srcBitmap = getRes("a00"); //grayBitmap = Bitmap.createBitmap(srcBitmap.getWidth(), srcBitmap.getHeight(), Config.RGB_565); Utils.bitmapToMat(srcBitmap, rgbMat); //convert original bitmap to Mat, R G B. Bitmap bitP = srcBitmap; Imgproc.resize(rgbMat, rgbMat, new Size(589, 374)); Imgproc.cvtColor(rgbMat, grayMat, Imgproc.COLOR_RGB2GRAY); //rgbMat to gray grayMat //Mat2IntArr(grayMat); //继续预处理 Imgproc.threshold(grayMat, binaryMat, t, 255, Imgproc.THRESH_BINARY);//二值化 //Mat2IntArr(binaryMat); Imgproc.medianBlur(binaryMat, binaryMat, 3); Size size = new Size(3, 3); Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, size); Imgproc.erode(binaryMat, erode, element);//腐蚀图像 //System.out.println(Integer.toString(erode.channels())); Log.i("MyLogcat", "进入Filter" ); last = Filter(erode,grayMat, t2); Log.i("MyLogcat", "完成Filter" ); //Mat2IntArr(res); boolean a1; if (last != null) { Log.i("MyLogcat", "进入findRect" ); a1 = findRect(last); } else { a1 = false; } if(a1) { Log.i("MyLogcat", "完成findRect1111" ); //System.out.println(String.valueOf(aa.length)+" "+String.valueOf(bb.length)); /*for (int a = 0; a < 19; a++) { System.out.println(String.valueOf(aa[a])+" "+String.valueOf(bb[a])); }*/ //Imgproc.medianBlur(last, last, 3); //************将mat转换成int[]，送给c++进行处理************* /*int h = last.height(); int w = last.width(); int temp[] = new int[h*w]; int result[] = new int[h*w]; temp = Mat2IntArr(last); result = LibImgFun.ImgFun(temp, w, h); System.out.println(String.valueOf(result[0])); */ /*String path = "bank"; Bitmap bmp = getRes(path); if (bmp == null) { System.out.println("NULL Image"); } System.out.println(String.valueOf(bmp.getHeight()) + " " + String.valueOf(srcBitmap.getHeight())); imgHuaishi.setImageBitmap(bmp);*/ trainData = new Mat(new Size(new_width * new_height, classes * train_samples),CvType.CV_32FC1); trainClasses = new Mat(new Size(1, classes * train_samples),CvType.CV_32FC1); getData();//得到训练数据 knn = new CvKNearest(); Mat sampleIdx = new Mat(); //boolean a = knn.train(trainData, trainClasses, sampleIdx, false, K, false); boolean a = knn.train(trainData, trainClasses); //float ret = do_ocr(binaryMat); //System.out.println(String.valueOf(ret)); //分割得到数字 Mat orig = new Mat(); last.copyTo(orig); Mat bininv_img = new Mat(); int c = 0; hehe = 0; error = 0; for (int i = 0; i < 18; i++) { c++; hehe++; if (bb[i] - aa[i] < 5) { Log.i("MyLogcat", "忽略" ); bankX[i] = 0; bankNum[i] = 0; error++; continue; } Rect roi = new Rect(aa[i], 0, bb[i] - aa[i], numX2 - numX1); bankX[i] = aa[i];//保存位置信息 Mat res = new Mat(); res = orig.submat(roi); if(c == 7) { //grayBitmap = Bitmap.createBitmap(res.width(), res.height(), Config.RGB_565); //Utils.matToBitmap(res, grayBitmap); //convert mat to bitmap //Mat2IntArr(res); } float ret = do_ocr(res); bankNum[i] = (int)ret; } Log.i("MyLogcat", "本次识别失败数是："+String.valueOf(error)); Log.i("MyLogcat", "进入sortBankNum" ); coutIntArr(bankNum, bankX); sortBankNum(); coutIntArr(bankNum, bankX); Log.i("MyLogcat", "完成sortBankNum" ); String x = new String(); x = "622848"; int finish = 0; for (int i = 0; i < 18; ++i) { if(i + error > 17) { break; } if(bankX[i + error] != 0) { x = x + String.valueOf(bankNum[i + error]); Log.i("MyLogcat", String.valueOf(bankNum[i + error]) + "+" + String.valueOf(i + error) ); finish++; if(finish >= 13) { break; } } } this.imgHuaishi.setImageBitmap(bitP); Log.i("MyLogcat", "准备放置结果了！" ); Toast.makeText(MainActivity.this, "卡号已经复制到剪切板！！！", 3).show(); TextView text = (TextView)findViewById(R.id.mttext); //x = "6228481099312404479"; text.setText(x); ClipboardManager myClipboard; myClipboard = (ClipboardManager)getSystemService(CLIPBOARD_SERVICE); ClipData myClip; myClip = ClipData.newPlainText("text", x); myClipboard.setPrimaryClip(myClip); /* grayBitmap = Bitmap.createBitmap(last.width(), last.height(), Config.RGB_565); //grayBitmap.setPixels(result, 0, w, 0, 0, w, h); Utils.matToBitmap(last, grayBitmap); //convert mat to bitmap*/ Log.i("MyLogcat", "procSrc2Gray sucess..." ); return error; } else { TextView text = (TextView)findViewById(R.id.mttext); text.setText("*******************"); tempBitmap = getRes("shuai"); this.imgHuaishi.setImageBitmap(tempBitmap); Log.i("MyLogcat", "完成findRect2222" ); System.out.println("?????????????????????????????????"); Toast.makeText(MainActivity.this, "本次识别失败，请在光线较亮的地方再次尝试！！", 3).show(); srcBitmap.recycle(); //回收图片所占的内存 return 1; } } boolean findRect(Mat srcA) {//将银行数字分割，黑点为前景点，白点为背景点。 int count = 0; int judgeA = 0;//0代表当前要判断有效列，1代表当前要判断无效列 int i = 0; Mat src = new Mat(); if (srcA == null) { return false; } Imgproc.medianBlur(srcA, src, 3); //srcA.copyTo(src); //cvSmooth(srcA, src, CV_MEDIAN); for (int x = 0; x < src.width(); x++) { count = 0; for (int y = 0; y < src.height(); y++) { byte[] data = new byte[1]; src.get(y, x, data); if (data[0] == 0)//遇到前景点就加1 { count ++; } } if (judgeA == 0) { if (count >= 5)//有效行到了 { judgeA = 1; if (i > 17) { i = 17; } aa[i] = x; } } else if(judgeA == 1) { if (count < 5) { judgeA = 0; if (i > 17) { i = 17; } bb[i] = x; i++; } } } //coutIntArr(bb, aa); /* for (int ii = 0; ii < 19; ++ii) { if (bb[ii] - aa[ii] < 5) { return false; } }*/ return true; /*for (int m = 0; m < i; m++) { cvLine(src, cvPoint(aa[m], 0), cvPoint(aa[m], src->height), cvScalar(0, 0, 0)); cvLine(src, cvPoint(bb[m], 0), cvPoint(bb[m], src->height), cvScalar(0, 0, 0)); }*/ /*cvNamedWindow("img"); cvShowImage("img", src); cvWaitKey(0); */ } public float[] Mat2IntArr(Mat mat) { int h = mat.height(); int w = mat.width(); float result[] = new float[h*w]; for (int i = 0; i < h; ++i) { for (int j = 0; j < w; ++j) { float[] data = new float[1]; mat.get(i, j, data); if( data[0] == 0) result[w * i + j] = 0; else result[w * i + j] = 255; System.out.println("("+String.valueOf(i)+","+String.valueOf(j)+")"+String.valueOf((float)data[0])); } } System.out.println(String.valueOf(h)+","+String.valueOf(w)); return result; } public Mat changeMat(Mat mat) { int h = mat.height(); int w = mat.width(); //int result[] = new int[h*w]; for (int i = 0; i < h; ++i) { for (int j = 0; j < w; ++j) { byte[] data = new byte[1]; mat.get(i, j, data); if( data[0] != 0) { data[0] = (byte)255; mat.put(i, j, data); } } } return mat; } public void pretreatment() {//读入原始图片 /*Mat src = Highgui.imread("bank.jpg"); if (src == null) { Log.i(TAG, "LOAD FAILED ..." ); return; }*/ Bitmap bm1=BitmapFactory.decodeFile("/drawable-hdpi/bank.jpg"); if (bm1 == null) { //Toast.makeText(MainActivity.this, "===========图片读取失败！============！！", 3).show(); return; } imgHuaishi.setImageBitmap(bm1); } private class ProcessClickListener implements OnClickListener{ @Override public void onClick(View v) { // TODO Auto-generated method stub /* if (isFirst) { procSrc2Gray(); isFirst = false ; } if (flag){ imgHuaishi.setImageBitmap(grayBitmap); btnProcess.setText( "查看原图" ); flag = false ; } else { imgHuaishi.setImageBitmap(srcBitmap); btnProcess.setText( "灰度化" ); flag = true ; } */ /* Intent i = new Intent( Intent.ACTION_PICK, android.provider.MediaStore.Images.Media.EXTERNAL_CONTENT_URI); startActivityForResult(i, RESULT_LOAD_IMAGE);*/ camera(); } } private class ProcessPicClickListener implements OnClickListener{ @Override public void onClick(View v) { // TODO Auto-generated method stub Intent intent = new Intent( Intent.ACTION_PICK, android.provider.MediaStore.Images.Media.EXTERNAL_CONTENT_URI); startActivityForResult(intent, RESULT_LOAD_IMAGE); } } /* @Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { super.onActivityResult(requestCode, resultCode, data); System.out.println("图片选择成功"); if (requestCode == RESULT_LOAD_IMAGE && resultCode == RESULT_OK && null != data) { Uri selectedImage = data.getData(); String[] filePathColumn = { MediaStore.Images.Media.DATA }; Cursor cursor = getContentResolver().query(selectedImage, filePathColumn, null, null, null); cursor.moveToFirst(); int columnIndex = cursor.getColumnIndex(filePathColumn[0]); String picturePath = cursor.getString(columnIndex); cursor.close(); System.out.println("是不是这里的问题？"); imgHuaishi.setImageBitmap(BitmapFactory.decodeFile(picturePath)); srcBitmap = BitmapFactory.decodeFile(picturePath); System.out.println("进入主函数"); System.out.println(String.valueOf(srcBitmap.getWidth()) + " and " + String.valueOf(srcBitmap.getHeight())); procSrc2Gray(); new Thread(new Runnable() { @Override public void run() { // TODO Auto-generated method stub MainActivity.this.runOnUiThread(new Runnable() { @Override public void run() { // TODO Auto-generated method stub //procSrc2Gray(); System.out.println("线程进来了"); } }); } }).start(); } }*/ /* * 从相机获取 */ private static final int PHOTO_REQUEST_CAREMA = 1; private static final int PHOTO_REQUEST_GALLERY = 2; private static final int PHOTO_REQUEST_CUT = 3; private static final String PHOTO_FILE_NAME = "temp_photo.jpg"; private File tempFile; /** * 判断手机是否有SD卡。 * * @return 有SD卡返回true，没有返回false。 */ public static boolean hasSDCard() { return Environment.MEDIA_MOUNTED.equals(Environment .getExternalStorageState()); } public void camera() { // 激活相机 Intent intent = new Intent("android.media.action.IMAGE_CAPTURE"); // 判断存储卡是否可以用，可用进行存储 if (hasSDCard()) { tempFile = new File(Environment.getExternalStorageDirectory(), PHOTO_FILE_NAME); // 从文件中创建uri Uri uri = Uri.fromFile(tempFile); intent.putExtra(MediaStore.EXTRA_OUTPUT, uri); } // 开启一个带有返回值的Activity，请求码为PHOTO_REQUEST_CAREMA startActivityForResult(intent, PHOTO_REQUEST_CAREMA); } @Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { if (requestCode == RESULT_LOAD_IMAGE && resultCode == RESULT_OK && null != data) { Uri selectedImage = data.getData(); String[] filePathColumn = { MediaStore.Images.Media.DATA }; Cursor cursor = getContentResolver().query(selectedImage, filePathColumn, null, null, null); cursor.moveToFirst(); int columnIndex = cursor.getColumnIndex(filePathColumn[0]); String picturePath = cursor.getString(columnIndex); cursor.close(); System.out.println("是不是这里的问题？"); imgHuaishi.setImageBitmap(BitmapFactory.decodeFile(picturePath)); srcBitmap = BitmapFactory.decodeFile(picturePath); System.out.println("进入主函数"); System.out.println(String.valueOf(srcBitmap.getWidth()) + " and " + String.valueOf(srcBitmap.getHeight())); procSrc2Gray(28, 30); } else if (requestCode == PHOTO_REQUEST_GALLERY) { // 从相册返回的数据 if (data != null) { // 得到图片的全路径 Uri uri = data.getData(); crop(uri); } } else if (requestCode == PHOTO_REQUEST_CAREMA) { // 从相机返回的数据 if (hasSDCard()) { crop(Uri.fromFile(tempFile)); } else { Toast.makeText(MainActivity.this, "未找到存储卡，无法存储照片！", 0).show(); } } else if (requestCode == PHOTO_REQUEST_CUT) { // 从剪切图片返回的数据 if (data != null) { Bitmap bitmap = data.getParcelableExtra("data"); //this.imgHuaishi.setImageBitmap(bitmap); srcBitmap = bitmap; Log.i("MyLogcat", "procSrc2Gray 进来了！" ); //int i = 40; //int judge = 1; //while(judge > 0) //{//错误大于0则继续 procSrc2Gray(45, 55);//43 //i++; //if (i >= 45) //{ //System.out.println("?????????????????????????????????"); //Toast.makeText(MainActivity.this, "本次识别失败，请在光线较亮的地方再次尝试！！", 3).show(); //break; //} //} } try { // 将临时文件删除 tempFile.delete(); } catch (Exception e) { e.printStackTrace(); } } super.onActivityResult(requestCode, resultCode, data); } /* * 剪切图片 */ private void crop(Uri uri) { // 裁剪图片意图 Intent intent = new Intent("com.android.camera.action.CROP"); intent.setDataAndType(uri, "image/*"); intent.putExtra("crop", "true"); // 裁剪框的比例，1：1 intent.putExtra("aspectX", 8); intent.putExtra("aspectY", 1); // 裁剪后输出图片的尺寸大小 intent.putExtra("outputX", 800); intent.putExtra("outputY", 100); intent.putExtra("outputFormat", "JPEG");// 图片格式 intent.putExtra("noFaceDetection", true);// 取消人脸识别 intent.putExtra("return-data", true); // 开启一个带有返回值的Activity，请求码为PHOTO_REQUEST_CUT startActivityForResult(intent, PHOTO_REQUEST_CUT); } @Override protected void onResume() { // TODO Auto-generated method stub super .onResume(); //load OpenCV engine and init OpenCV library OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_4, getApplicationContext(), mLoaderCallback); Log.i(TAG, "onResume sucess load OpenCV..." ); // new Handler().postDelayed(new Runnable(){ // // @Override // public void run() { // // TODO Auto-generated method stub // procSrc2Gray(); // } // // }, 1000); } } ?简易APP编写完毕