问题描述
我想创建一个Android应用程序。程序步骤如下所示
- 开启相机
- 获取帧
- 选择通过触摸屏的边框
- 绘制文件夹下的载入模板图片
- 应用模板匹配
- 显示结果
模板图像的垫子对象不为空。我检查一下。当我运行这个code,我得到以下错误消息。
code:
公共无效onCameraViewStarted(INT宽度,高度INT){
mRgba =新垫(高度,宽度,CvType.CV_8UC4);
临时=新垫(高度,宽度,CvType.CV_8UC4);
}公共布尔onTouch(视图V,MotionEvent事件){
INT COLS = mRgba.cols();
INT行= mRgba.rows(); INT xOffset =(mOpenCvCameraView.getWidth() - COLS)/ 2;
INT yOffset =(mOpenCvCameraView.getHeight() - 行)/ 2; INT X =(INT)event.getX() - xOffset;
INT Y =(int)的event.getY() - yOffset; Log.i(TAG,触摸图像坐标:(+ X +,+ Y +)); 如果((X小于0)||(Y℃下)||(X> COLS)||(Y>行))返回false; mIsColorSelected = TRUE;
返回true; //不需要后续触摸事件
}私人静电台垫readInputStreamIntoMat(的InputStream的InputStream)抛出IOException
//读入字节数组
字节[] = temporaryImageInMemory readStream(InputStream的); //德code到垫子。使用恰当地描述你的图像的任何IMREAD_选项
垫outputImage = Highgui.imde code(新MatOfByte(temporaryImageInMemory),Highgui.IMREAD_GRAYSCALE); 返回outputImage;
}私人静态的byte [] readStream(InputStream的流)抛出IOException
//图像将内容复制到字节数组
ByteArrayOutputStream缓冲区=新ByteArrayOutputStream();
INT NREAD;
字节[]数据=新的字节[16384] 而((NREAD = stream.read(数据,0,data.length))!= - 1){
buffer.write(数据,0,NREAD);
} buffer.flush();
字节[] = temporaryImageInMemory buffer.toByteArray();
buffer.close();
stream.close();
返回temporaryImageInMemory;
}
公共垫onCameraFrame(CvCameraViewFrame inputFrame){ 如果(mIsColorSelected){
InputStream的INPT = getResources()openRawResource(R.drawable.imgt)。
太mTemp;
尝试{
mRgba.copyTo(临时);
mTemp = readInputStreamIntoMat(INPT);
}赶上(IOException异常五){
// TODO自动生成catch块
e.printStackTrace();
}
// /创建结果矩阵
INT result_cols = temp.cols() - mTemp.cols()+ 1;
INT result_rows = temp.rows() - mTemp.rows()+ 1;
垫结果=新垫(result_rows,result_cols,CvType.CV_32FC1);
INT match_method = 4;
// /执行匹配和规范
Imgproc.matchTemplate(温度,mTemp,因此,match_method);
Core.normalize(结果,结果,0,1,Core.NORM_MINMAX,-1,新垫());
/ *
本地化与minMaxLoc最佳匹配
MinMaxLocResult MMR = Core.minMaxLoc(结果); 点matchLoc;
如果(match_method == || Imgproc.TM_SQDIFF == match_method Imgproc.TM_SQDIFF_NORMED){
matchLoc = mmr.minLoc;
}其他{
matchLoc = mmr.maxLoc;
} / *
// / 告诉我你得到了什么
Core.rectangle(温度,matchLoc,新点(matchLoc.x + mTemp.cols()
matchLoc.y + mTemp.rows()),新的标量(0,255,0)); * /
返回温度;
}
其他{
mRgba = inputFrame.rgba();
} 返回mRgba;
}
有关模板匹配,无论是源图像和模板图像必须是相同的数据类型(<一href=\"http://docs.opencv.org/modules/imgproc/doc/object_detection.html?highlight=matchtemplate#matchtemplate\"相对=nofollow> 1 )。在这里,你的模板图像( mTemp
)是灰度图像和源图像( mRgba
/ 温度
)是alpha通道的彩色图像。
所以,让我们改变源代码和模板图像是灰度图像
临时=新垫(高度,宽度,CvType.CV_8UC1);
和替换 mRgba.copyTo(临时)
与
Imgproc.cvtColor(mRgba,温度,Imgproc.COLOR_RGBA2GRAY);
I want to create an android application. Program steps are below
- Open camera
- Get frames
- Select a frame by touch screen
- Load template image under drawable folder
- Apply template matching
- Show result
The mat object of template image is not empty. I check it. When I run this code, I get below error message.
Code :
public void onCameraViewStarted(int width, int height) {
mRgba = new Mat(height, width, CvType.CV_8UC4);
temp = new Mat(height, width, CvType.CV_8UC4);
}
public boolean onTouch(View v, MotionEvent event) {
int cols = mRgba.cols();
int rows = mRgba.rows();
int xOffset = (mOpenCvCameraView.getWidth() - cols) / 2;
int yOffset = (mOpenCvCameraView.getHeight() - rows) / 2;
int x = (int)event.getX() - xOffset;
int y = (int)event.getY() - yOffset;
Log.i(TAG, "Touch image coordinates: (" + x + ", " + y + ")");
if ((x < 0) || (y < 0) || (x > cols) || (y > rows)) return false;
mIsColorSelected = true;
return true; // don't need subsequent touch events
}
private static Mat readInputStreamIntoMat(InputStream inputStream) throws IOException {
// Read into byte-array
byte[] temporaryImageInMemory = readStream(inputStream);
// Decode into mat. Use any IMREAD_ option that describes your image appropriately
Mat outputImage = Highgui.imdecode(new MatOfByte(temporaryImageInMemory), Highgui.IMREAD_GRAYSCALE);
return outputImage;
}
private static byte[] readStream(InputStream stream) throws IOException {
// Copy content of the image to byte-array
ByteArrayOutputStream buffer = new ByteArrayOutputStream();
int nRead;
byte[] data = new byte[16384];
while ((nRead = stream.read(data, 0, data.length)) != -1) {
buffer.write(data, 0, nRead);
}
buffer.flush();
byte[] temporaryImageInMemory = buffer.toByteArray();
buffer.close();
stream.close();
return temporaryImageInMemory;
}
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
if(mIsColorSelected) {
InputStream inpT = getResources().openRawResource(R.drawable.imgt);
Mat mTemp;
try {
mRgba.copyTo(temp);
mTemp = readInputStreamIntoMat(inpT);
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
// / Create the result matrix
int result_cols = temp.cols() - mTemp.cols() + 1;
int result_rows = temp.rows() - mTemp.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
int match_method = 4;
// / Do the Matching and Normalize
Imgproc.matchTemplate(temp, mTemp, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
/*
Localizing the best match with minMaxLoc
MinMaxLocResult mmr = Core.minMaxLoc(result);
Point matchLoc;
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = mmr.minLoc;
} else {
matchLoc = mmr.maxLoc;
}/*
// / Show me what you got
Core.rectangle(temp, matchLoc, new Point(matchLoc.x + mTemp.cols(),
matchLoc.y + mTemp.rows()), new Scalar(0, 255, 0));*/
return temp;
}
else {
mRgba = inputFrame.rgba();
}
return mRgba;
}
For template matching , both source image and template image must be of same data type(1). Here your template image(mTemp
) is a gray scale image and source image( mRgba
/ temp
) is a color image with alpha channel.
So, lets change both source and template images to be gray scale images
temp = new Mat(height, width, CvType.CV_8UC1);
and replace mRgba.copyTo(temp)
with
Imgproc.cvtColor(mRgba, temp, Imgproc.COLOR_RGBA2GRAY);
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