opencv3.0.0 for android .判断两张图片是否一致

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你先需要自己下载opencv3.0SDK，项目下载点击打开链接

先看效果图

接下来是代码

布局部分

    xmlns:tools="http://schemas.android.com/tools"
    android:layout_width="match_parent"
    android:layout_height="match_parent"
    tools:context="${relativePackage}.${activityClass}" >
   android:layout_height="wrap_content"
   android:id="@+id/btnId"
   android:text="开始检测"/>
   android:layout_height="wrap_content"
   android:id="@+id/txtResultId"
   android:layout_toRightOf="@id/btnId"
   android:gravity="center"
   android:textSize="25sp"
   android:textColor="#ff0000"/>
   android:layout_width="240px"
   android:layout_height="320px"
   android:layout_below="@id/btnId"
   android:layout_centerHorizontal="true"/>
   android:layout_width="240px"
   android:layout_height="320px"
   android:layout_below="@id/img1Id"
   android:layout_centerHorizontal="true"/>

java部分

package com.example.motiondetect;


public class CameraTest {
public static native int grayProc1(int[] pixels, int w, int h);
public static native int grayProc(int[] pix1,int[] pix2, int w, int h);
}

package com.example.motiondetect;


import org.opencv.android.BaseLoaderCallback;
import org.opencv.android.LoaderCallbackInterface;
import org.opencv.android.OpenCVLoader;
import org.opencv.videoio.VideoCapture;
import android.app.Activity;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import android.view.View.OnClickListener;
import android.widget.Button;
import android.widget.ImageView;
import android.widget.TextView;

public class MainActivity extends Activity {
private VideoCapture cap;
private Button btnObj;
private Bitmap bmp1;
private Bitmap bmp2;
private TextView txtObj;
private ImageView imgObj1;
private ImageView imgObj2;
//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:{ 
                System.loadLibrary("test");
                } break;  
                default:{  
                    super.onManagerConnected(status);  
                } break;  
            }  
        }  
    };  
    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);
        btnObj=(Button)findViewById(R.id.btnId);
        //将lena图像加载程序中并进行显示  
        bmp1 = BitmapFactory.decodeResource(getResources(), R.drawable.i21);
        bmp2=BitmapFactory.decodeResource(getResources(), R.drawable.i22);
        txtObj=(TextView)findViewById(R.id.txtResultId);
        imgObj1=(ImageView)findViewById(R.id.img1Id);
        imgObj2=(ImageView)findViewById(R.id.img2Id);
        imgObj1.setImageBitmap(bmp1);
        imgObj2.setImageBitmap(bmp2);
        btnObj.setOnClickListener(new OnClickListener() {

@Override
public void onClick(View v) {
int w = bmp1.getWidth();  
       int h = bmp1.getHeight();  
       int[] pix1 = new int[w*h];       
       bmp1.getPixels(pix1, 0, w, 0, 0, w, h);  
       int[] pix2 = new int[w*h];     
       bmp2.getPixels(pix2, 0, w, 0, 0, w, h);
       int r=CameraTest.grayProc(pix1,pix2, w, h);
       Log.e("","rusult="+r );
       txtObj.setText(r<=5?"they are the same":(r>10?"they are different":"they are somewhat similar"));
}
});
        
    }
    @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  
        Log.e("",""+OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, this, mLoaderCallback));  
    } 
    @Override
    protected void onDestroy() {
    // TODO Auto-generated method stub
    bmp1.recycle();
    bmp2.recycle();
    super.onDestroy();
    }
}

jni部分

#include
#include
#include
#include
#include


#define LOG_TAG "JNI"
#define LOGE(...) ((void)__android_log_print(ANDROID_LOG_ERROR, LOG_TAG, __VA_ARGS__))
using namespace cv;


//JNIEXPORT void JNICALL Java_com_example_motiondetect_CameraTest_openCamera(
// JNIEnv * env, jclass cls) {
//
//}


JNIEXPORT jint JNICALL Java_com_example_motiondetect_CameraTest_grayProc1(
JNIEnv *env, jclass cls, jintArray pix, jint w, jint h) {
jint *cbuf;
cbuf = env->GetIntArrayElements(pix, false);
Mat matSrc(h, w, CV_8UC4, (unsigned char*) cbuf);
Mat matSrc1, matSrc2;
// CV_Assert(matSrc.channels()==3);
cv::resize(matSrc, matSrc1, cv::Size(357, 419), 0, 0, cv::INTER_NEAREST);
cv::resize(matSrc, matSrc2, cv::Size(480, 800), 0, 0, cv::INTER_LANCZOS4);
cv::Mat matDst1, matDst2;


cv::resize(matSrc1, matDst1, cv::Size(8, 8), 0, 0, cv::INTER_CUBIC);
cv::resize(matSrc2, matDst2, cv::Size(8, 8), 0, 0, cv::INTER_CUBIC);


cv::cvtColor(matDst1, matDst1, CV_BGR2GRAY);
cv::cvtColor(matDst2, matDst2, CV_BGR2GRAY);


int iAvg1 = 0, iAvg2 = 0;
int arr1[64], arr2[64];


for (int i = 0; i < 8; i++) {
uchar* data1 = matDst1.ptr(i);
uchar* data2 = matDst2.ptr(i);


int tmp = i * 8;


for (int j = 0; j < 8; j++) {
int tmp1 = tmp + j;


arr1[tmp1] = data1[j] / 4 * 4;
arr2[tmp1] = data2[j] / 4 * 4;


iAvg1 += arr1[tmp1];
iAvg2 += arr2[tmp1];
}
}


iAvg1 /= 64;
iAvg2 /= 64;


for (int i = 0; i < 64; i++) {
arr1[i] = (arr1[i] >= iAvg1) ? 1 : 0;
arr2[i] = (arr2[i] >= iAvg2) ? 1 : 0;
}


int iDiffNum = 0;


for (int i = 0; i < 64; i++)
if (arr1[i] != arr2[i])
++iDiffNum;


LOGE("iDiffNum =%d", iDiffNum);


if (iDiffNum <= 5)
LOGE("two images are very similar!");
else if (iDiffNum > 10)
LOGE("they are two different images!");
else
LOGE("two image are somewhat similar!");
env->ReleaseIntArrayElements(pix, cbuf, 0);
return iDiffNum;
}
JNIEXPORT jint JNICALL Java_com_example_motiondetect_CameraTest_grayProc(
JNIEnv *env, jclass cls, jintArray pix1, jintArray pix2, jint w,
jint h) {
jint *cbuf;
cbuf = env->GetIntArrayElements(pix1, false);
jint *dbuf;
dbuf = env->GetIntArrayElements(pix2, false);
Mat matSrc1(h, w, CV_8UC4, (unsigned char*) cbuf);
Mat matSrc2(h, w, CV_8UC4, (unsigned char*) dbuf);




cv::Mat matDst1, matDst2;


cv::resize(matSrc1, matDst1, cv::Size(8, 8), 0, 0, cv::INTER_CUBIC);
cv::resize(matSrc2, matDst2, cv::Size(8, 8), 0, 0, cv::INTER_CUBIC);


cv::cvtColor(matDst1, matDst1, CV_BGR2GRAY);
cv::cvtColor(matDst2, matDst2, CV_BGR2GRAY);


int iAvg1 = 0, iAvg2 = 0;
int arr1[64], arr2[64];


for (int i = 0; i < 8; i++) {
uchar* data1 = matDst1.ptr(i);
uchar* data2 = matDst2.ptr(i);


int tmp = i * 8;


for (int j = 0; j < 8; j++) {
int tmp1 = tmp + j;


arr1[tmp1] = data1[j] / 4 * 4;
arr2[tmp1] = data2[j] / 4 * 4;


iAvg1 += arr1[tmp1];
iAvg2 += arr2[tmp1];
}
}


iAvg1 /= 64;
iAvg2 /= 64;


for (int i = 0; i < 64; i++) {
arr1[i] = (arr1[i] >= iAvg1) ? 1 : 0;
arr2[i] = (arr2[i] >= iAvg2) ? 1 : 0;
}


int iDiffNum = 0;


for (int i = 0; i < 64; i++)
if (arr1[i] != arr2[i])
++iDiffNum;


LOGE("iDiffNum =%d", iDiffNum);


if (iDiffNum <= 5)
LOGE("two images are very similar!");
else if (iDiffNum > 10)
LOGE("they are two different images!");
else
LOGE("two image are somewhat similar!");
env->ReleaseIntArrayElements(pix1, cbuf, 0);
env->ReleaseIntArrayElements(pix2, dbuf, 0);
return iDiffNum;
}