我正在尝试在android中使用自适应阈值处理(Bitmap),这需要将其更改为Mat然后将其转换为灰度.
下面是我的代码,从创建位图开始.它们被命名为crop,因为我刚刚在此之前裁剪了照片.
Bitmap bmCrop = BitmapFactory.decodeStream(iStream);
Bitmap bmThreshed = null;
/*
* Initialize the Mats
*/
Mat threshed = new Mat(bmCrop.getHeight(),bmCrop.getWidth(), CvType.CV_8UC1, new Scalar(4));//, new Scalar(4)
//Mat crop = new Mat();
Mat crop = new Mat(bmCrop.getHeight(),bmCrop.getWidth(), CvType.CV_8UC1,new Scalar(4));//, new Scalar(4)
/*
* Convert the Mats to Grayscale
*/
if(!threshed.empty())
Imgproc.cvtColor(threshed, threshed, Imgproc.COLOR_RGB2GRAY,1);// CURRENTLY BREAKING HERE
if(!crop.empty())
Imgproc.cvtColor(crop, crop, Imgproc.COLOR_BGR2GRAY,1);
Utils.bitmapToMat(bmCrop, crop);
// Mat src, Mat dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C
Imgproc.adaptiveThreshold(crop, threshed, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY_INV, 15, 8);
Utils.matToBitmap(threshed, bmThreshed);
bmThreshed = bmCrop;
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它目前打破了"Imgproc.cvtColor(threshed,threshed,Imgproc.COLOR_RGB2GRAY,1)"这一行,我尝试在Mat上进行cvtColor.
以下是LogCat的输出:
05-28 11:25:21.172: E/cv::error()(32505): OpenCV Error: Assertion failed (scn == 3 || scn == 4) in void cv::cvtColor(cv::InputArray, cv::OutputArray, int, int), file /home/reports/ci/slave/50-SDK/opencv/modules/imgproc/src/color.cpp, line 3414
05-28 11:25:25.697: D/AndroidRuntime(32505): Shutting down VM
05-28 11:25:25.707: W/dalvikvm(32505): threadid=1: thread exiting with uncaught exception (group=0x414b1930)
05-28 11:25:25.747: E/AndroidRuntime(32505): FATAL EXCEPTION: main
05-28 11:25:25.747: E/AndroidRuntime(32505): CvException [org.opencv.core.CvException: /home/reports/ci/slave/50-SDK/opencv/modules/imgproc/src/color.cpp:3414: error: (-215) scn == 3 || scn == 4 in function void cv::cvtColor(cv::InputArray, cv::OutputArray, int, int)
05-28 11:25:25.747: E/AndroidRuntime(32505): ]
05-28 11:25:25.747: E/AndroidRuntime(32505): at org.opencv.imgproc.Imgproc.cvtColor_0(Native Method)
05-28 11:25:25.747: E/AndroidRuntime(32505): at org.opencv.imgproc.Imgproc.cvtColor(Imgproc.java:4017)
05-28 11:25:25.747: E/AndroidRuntime(32505): at com.activity.IMGP_Camera$1.onManagerConnected(IMGP_Camera.java:263)
05-28 11:25:25.747: E/AndroidRuntime(32505): at org.opencv.android.AsyncServiceHelper$1.onServiceConnected(AsyncServiceHelper.java:318)
05-28 11:25:25.747: E/AndroidRuntime(32505): at android.app.LoadedApk$ServiceDispatcher.doConnected(LoadedApk.java:1101)
05-28 11:25:25.747: E/AndroidRuntime(32505): at android.app.LoadedApk$ServiceDispatcher$RunConnection.run(LoadedApk.java:1118)
05-28 11:25:25.747: E/AndroidRuntime(32505): at android.os.Handler.handleCallback(Handler.java:725)
05-28 11:25:25.747: E/AndroidRuntime(32505): at android.os.Handler.dispatchMessage(Handler.java:92)
05-28 11:25:25.747: E/AndroidRuntime(32505): at android.os.Looper.loop(Looper.java:137)
05-28 11:25:25.747: E/AndroidRuntime(32505): at android.app.ActivityThread.main(ActivityThread.java:5226)
05-28 11:25:25.747: E/AndroidRuntime(32505): at java.lang.reflect.Method.invokeNative(Native Method)
05-28 11:25:25.747: E/AndroidRuntime(32505): at java.lang.reflect.Method.invoke(Method.java:511)
05-28 11:25:25.747: E/AndroidRuntime(32505): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:795)
05-28 11:25:25.747: E/AndroidRuntime(32505): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:562)
05-28 11:25:25.747: E/AndroidRuntime(32505): at dalvik.system.NativeStart.main(Native Method)
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断言失败表示输入图像cvtColor()没有3或4个通道.问题是您threshed使用类型CV_8UC1(单通道灰度)进行初始化,然后cvtColor()使用代码进行调用,该代码RGB2GRAY需要3通道RGB图像.
你并不需要调用cvtColor()的threshed所有,因为它已经在灰度.并且,假设您的目标是将裁剪的图像转换为灰度,则在填充Mat数据后,您将需要进行颜色转换.因此,代码的相关部分可能如下所示:
Mat threshed = new Mat(bmCrop.getHeight(),bmCrop.getWidth(), CvType.CV_8UC1, new Scalar(4));//, new Scalar(4)
//Mat crop = new Mat();
Mat crop = new Mat(bmCrop.getHeight(),bmCrop.getWidth(), CvType.CV_8UC1,new Scalar(4));//, new Scalar(4)
Utils.bitmapToMat(bmCrop, crop);
if(!crop.empty())
Imgproc.cvtColor(crop, crop, Imgproc.COLOR_BGR2GRAY,1);
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免责声明:我不熟悉Java或OpenCV Java API,因此可能需要调整此代码.
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