3D图片分为左右图和上下图，本程序的主要目的是将图片判断是左右图、上下图还是2D图片。原理采用灰度直方图匹配的方式，首先将图片分割为左右图，判断是否类似，然后将图片分割为上下图，判断是否类似，最终将得到的结果进行分析，得出最后结果。本程序中阈值选择为0.1.

关键代码如下：

   private static final String TAG = TDImageRecognition.class.getSimpleName();public static final int LRMODEL = 1;public static final int RLMODEL = 2;public static final int TDMODEL = 3;public static final int DTMODEL = 4;public static final int SDMODEL = 5;static {try {System.loadLibrary("tdimage");} catch (UnsatisfiedLinkError use) {Log.e(TAG, "WARNING: Could not load libtd_image.so");}}public static int imageRecognition(Bitmap bitmap) {if (bitmap == null)return 0;int w = bitmap.getWidth(), h = bitmap.getHeight();int[] pix = new int[w * h];bitmap.getPixels(pix, 0, w, 0, 0, w, h);int result = TDImageRecognition.tDImageRecognition(pix, w, h);return result;}public static native int[] imageRecognition(int[] sourceImage, int w, int h);public static native int tDImageRecognition(int[] sourceImage, int w, int h);public static native int _getVideoType(String path);

通过JNI的方式调用OPENCV进行识别

JNIEXPORT jint JNICALL Java_com_runmit_imagerecognition_utils_TDImageRecognition_tDImageRecognition(JNIEnv * env, jobject obj, jintArray buf, jint w, jint h) {std::vector<IplImage *> lrImages(2);std::vector<IplImage *> tdImages(2);int* cbuf = env->GetIntArrayElements(buf, false);IplImage* grayImage = changeArrayToGrayImage(cbuf, w, h);//截取左边图片IplImage* leftImage = splitImage(grayImage,w/2,h,0,0);//截取右边图片IplImage* rightImage = splitImage(grayImage,w/2,h,w/2,0);//上面图片IplImage* topImage = splitImage(grayImage,w,h/2,0,0);//下面图片IplImage* bottomImage = splitImage(grayImage,w,h/2,0,h/2);double lrResult = calHist(leftImage,rightImage);double tdResult = calHist(topImage,bottomImage);cvReleaseImage(&grayImage);cvReleaseImage(&leftImage);cvReleaseImage(&rightImage);cvReleaseImage(&topImage);cvReleaseImage(&bottomImage);if(lrResult <= THRESHOLD && tdResult > THRESHOLD) {return LRMODEL;}if(lrResult > THRESHOLD && tdResult <= THRESHOLD) {return TDMODEL;}return SDMODEL;
}

用到的帮助类

#include <jni.h>
#include <stdio.h>
#include <stdlib.h>
#include "ImageUtils.h"
using namespace cv;
extern "C" {//分割图片
IplImage* splitImage(IplImage* src, int w, int h, int origX,int origY ) {if(src == NULL) {return NULL;printf("the image is null");}CvSize size= cvSize(w, h);//区域大小cvSetImageROI(src,cvRect(origX,origY,size.width, size.height));//设置源图像ROIIplImage* pDest = cvCreateImage(size,src->depth,src->nChannels);//创建目标图像cvCopy(src,pDest); //复制图像cvResetImageROI(src);//源图像用完后，清空ROIreturn pDest;
}//
double calHist(IplImage* img1,IplImage* img2){int hist_size=256;float range[] = {0,255};float* ranges[]={range};CvHistogram* gray_hist = cvCreateHist(1,&hist_size,CV_HIST_ARRAY,ranges,1);cvCalcHist(&img1,gray_hist,0,0);CvHistogram* gray_hist2 = cvCreateHist(1,&hist_size,CV_HIST_ARRAY,ranges,1);cvCalcHist(&img2,gray_hist2,0,0);double  result = cvCompareHist(gray_hist,gray_hist2,CV_COMP_BHATTACHARYYA);cvReleaseImage(&img1);cvReleaseImage(&img2);cvReleaseHist(&gray_hist);cvReleaseHist(&gray_hist2);return result;
}IplImage * change4channelTo3InIplImage(IplImage * src) {if (src->nChannels != 4) {return NULL;}IplImage * destImg = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);for (int row = 0; row < src->height; row++) {for (int col = 0; col < src->width; col++) {CvScalar s = cvGet2D(src, row, col);cvSet2D(destImg, row, col, s);}}cvReleaseImage(&src);return destImg;
}IplImage* changeArrayToGrayImage(int* cbuf,int w,int h) {if (cbuf == NULL) {return 0;}Mat matImage(h, w, CV_8UC4, (unsigned char*) cbuf);IplImage  image = IplImage(matImage);IplImage* image3channel = change4channelTo3InIplImage(&image);IplImage* grayImage = cvCreateImage(cvGetSize(image3channel),IPL_DEPTH_8U,1);cvCvtColor(image3channel,grayImage,CV_BGR2GRAY); //关键//cvReleaseImage(&image);cvReleaseImage(&image3channel);return grayImage;}}

Android.mk文件

LOCAL_PATH := $(call my-dir)
include $(CLEAR_VARS)
OpenCV_INSTALL_MODULES:=on
OPENCV_CAMERA_MODULES:=off
OPENCV_LIB_TYPE:=STATIC
#include ../includeOpenCV.mk
ifeq ("$(wildcard $(OPENCV_MK_PATH))","")
#try to load OpenCV.mk from default install location
include /home/wang1/Documents/opencv/OpenCV-3.1.0-android-sdk/OpenCV-android-sdk/sdk/native/jni/OpenCV.mk
else
include $(OPENCV_MK_PATH)
endif
LOCAL_MODULE    := tdimage
LOCAL_C_INCLUDES += core/include
LOCAL_SRC_FILES :=                                \core/ImageUtils.cpp            \core/TDImageRecognition.cpp    \LOCAL_LDLIBS    += -lm -llog
include $(BUILD_SHARED_LIBRARY)

运行效果如下：

http://download.csdn.net/detail/xiaowang0924/9456408