安卓:使用OpenCV对齐图像
安卓:使用OpenCV对齐图像
提问于 2017-06-06 15:26:33
我正在尝试使用OpenCV对齐两个图像。我根据我找到的C++/Python教程编写了这段代码：http://www.learnopencv.com/image-alignment-ecc-in-opencv-c-python/
android中的findTransformECC()函数需要一个额外的inputMask参数。C++和Python函数没有这个功能。
我的代码：
import android.graphics.Bitmap;
import org.opencv.android.Utils;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.imgproc.Imgproc;
import static org.opencv.core.CvType.CV_32F;
import static org.opencv.video.Video.MOTION_EUCLIDEAN;
import static org.opencv.video.Video.findTransformECC;
public class ImageProcessor {
public static Bitmap alignImages(Bitmap A, Bitmap B){
final int warp_mode = MOTION_EUCLIDEAN;
Mat matA = new Mat(A.getHeight(),A.getWidth(), CvType.CV_8UC3);
Mat matAgray = new Mat(A.getHeight(),A.getWidth(), CvType.CV_8U);
Mat matB = new Mat(B.getHeight(),B.getWidth(), CvType.CV_8UC3);
Mat matBgray = new Mat(B.getHeight(),B.getWidth(), CvType.CV_8U);
Mat matBaligned = new Mat(A.getHeight(),A.getWidth(), CvType.CV_8UC3);
Mat warpMatrix = Mat.eye(3,3,CV_32F);
Utils.bitmapToMat(A,matA);
Utils.bitmapToMat(B,matB);
Imgproc.cvtColor(matA,matAgray, Imgproc.COLOR_BGR2GRAY);
Imgproc.cvtColor(matB,matBgray,Imgproc.COLOR_BGR2GRAY);
int numIter = 5000;
double terminationEps = 1e-10;
TermCriteria criteria = new TermCriteria(TermCriteria.COUNT+TermCriteria.EPS,numIter,terminationEps);
findTransformECC(matAgray,matBgray,warpMatrix,warp_mode,criteria,matBgray);
Imgproc.warpPerspective(matA,matBaligned,warpMatrix,matA.size(),Imgproc.INTER_LINEAR+ Imgproc.WARP_INVERSE_MAP);
Bitmap alignedBMP = Bitmap.createBitmap(A.getWidth(),A.getHeight(),null);
Utils.matToBitmap(matBaligned,alignedBMP);
return alignedBMP;
}
}我得到以下错误
W/System.err: CvException [org.opencv.core.CvException: cv::Exception: /build/master_pack-android/opencv/modules/imgproc/src/imgwarp.cpp:5987: error: (-215) (M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 2 && M0.cols == 3 in function void cv::warpAffine(cv::InputArray, cv::OutputArray, cv::InputArray, cv::Size, int, int, const Scalar&)
W/System.err: ]
W/System.err: at org.opencv.video.Video.findTransformECC_0(Native Method)
W/System.err: at org.opencv.video.Video.findTransformECC(Video.java:132)
W/System.err: at com.test.imgptest.ImageProcessor.alignImages(ImageProcessor.java:42)
W/System.err: at com.test.imgptest.MainActivity.onActivityResult(MainActivity.java:141)
W/System.err: at android.app.Activity.dispatchActivityResult(Activity.java:6937)
W/System.err: at android.app.ActivityThread.deliverResults(ActivityThread.java:4122)
W/System.err: at android.app.ActivityThread.handleSendResult(ActivityThread.java:4169)
W/System.err: at android.app.ActivityThread.-wrap20(ActivityThread.java)
W/System.err: at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1552)
W/System.err: at android.os.Handler.dispatchMessage(Handler.java:102)
W/System.err: at android.os.Looper.loop(Looper.java:154)
W/System.err: at android.app.ActivityThread.main(ActivityThread.java:6186)
W/System.err: at java.lang.reflect.Method.invoke(Native Method)
W/System.err: at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:889)
W/System.err: at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:779)回答 1
Stack Overflow用户
发布于 2018-07-01 01:23:17
可接受答案中的完整函数：
public static Bitmap alignImagesHomography(Bitmap A, Bitmap B)
{
final int warp_mode = MOTION_HOMOGRAPHY;
Mat matA = new Mat(A.getHeight(), A.getWidth(), CvType.CV_8UC3);
Mat matAgray = new Mat(A.getHeight(), A.getWidth(), CvType.CV_8U);
Mat matB = new Mat(B.getHeight(), B.getWidth(), CvType.CV_8UC3);
Mat matBgray = new Mat(B.getHeight(), B.getWidth(), CvType.CV_8U);
Mat matBaligned = new Mat(A.getHeight(), A.getWidth(), CvType.CV_8UC3);
Mat warpMatrix = Mat.eye(3, 3, CV_32F);
Utils.bitmapToMat(A, matA);
Utils.bitmapToMat(B, matB);
Imgproc.cvtColor(matA, matAgray, Imgproc.COLOR_BGR2GRAY);
Imgproc.cvtColor(matB, matBgray, Imgproc.COLOR_BGR2GRAY);
int numIter = 5;
double terminationEps = 1e-10;
TermCriteria criteria = new TermCriteria(TermCriteria.COUNT + TermCriteria.EPS, numIter, terminationEps);
findTransformECC(matAgray, matBgray, warpMatrix, warp_mode, criteria, matBgray);
Imgproc.warpPerspective(matB, matBaligned, warpMatrix, matA.size(), Imgproc.INTER_LINEAR + Imgproc.WARP_INVERSE_MAP);
Bitmap alignedBMP = Bitmap.createBitmap(A.getWidth(), A.getHeight(), Bitmap.Config.RGB_565);
Utils.matToBitmap(matBaligned, alignedBMP);
return alignedBMP;
}
public static Bitmap alignImagesEuclidean(Bitmap A, Bitmap B)
{
final int warp_mode = MOTION_EUCLIDEAN;
Mat matA = new Mat(A.getHeight(), A.getWidth(), CvType.CV_8UC3);
Mat matAgray = new Mat(A.getHeight(), A.getWidth(), CvType.CV_8U);
Mat matB = new Mat(B.getHeight(), B.getWidth(), CvType.CV_8UC3);
Mat matBgray = new Mat(B.getHeight(), B.getWidth(), CvType.CV_8U);
Mat matBaligned = new Mat(A.getHeight(), A.getWidth(), CvType.CV_8UC3);
Mat warpMatrix = Mat.eye(2,3,CV_32F);
Utils.bitmapToMat(A, matA);
Utils.bitmapToMat(B, matB);
Imgproc.cvtColor(matA, matAgray, Imgproc.COLOR_BGR2GRAY);
Imgproc.cvtColor(matB, matBgray, Imgproc.COLOR_BGR2GRAY);
int numIter = 5;
double terminationEps = 1e-10;
TermCriteria criteria = new TermCriteria(TermCriteria.COUNT + TermCriteria.EPS, numIter, terminationEps);
findTransformECC(matAgray, matBgray, warpMatrix, warp_mode, criteria, matBgray);
Imgproc.warpAffine(matB, matBaligned, warpMatrix, matA.size(), Imgproc.INTER_LINEAR + Imgproc.WARP_INVERSE_MAP);
Bitmap alignedBMP = Bitmap.createBitmap(A.getWidth(), A.getHeight(), Bitmap.Config.RGB_565);
Utils.matToBitmap(matBaligned, alignedBMP);
return alignedBMP;
}下面是一个使用alignMTB的更快的版本：
public static Bitmap AlignExposures(Mat[] image_list) {
List<Mat> src = Arrays.asList(image_list);
Bitmap output = Bitmap.createBitmap(bitmapWidth,bitmapHeight, Bitmap.Config.ARGB_8888);
AlignMTB align = createAlignMTB(8, 4, false);
align.process(src,src);
for(int i = 1; i < src.size(); i++) {
addWeighted(src.get(0),1-1/(i+1),src.get(i),1/(i+1),0,src.get(0));
}
Utils.matToBitmap(src.get(0),output);
return output;
}页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/44383801
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