高形变二维码矫正识别 java
时间: 2023-07-28 09:10:30 浏览: 95
高形变二维码矫正识别是指对于形变较大的二维码图像进行矫正并识别。在Java中,可以使用Zxing库来识别二维码,并使用OpenCV库来进行图像矫正。
以下是一个简单的示例代码,用于对高形变二维码进行矫正和识别:
```
import java.awt.image.BufferedImage;
import java.io.File;
import javax.imageio.ImageIO;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import com.google.zxing.BinaryBitmap;
import com.google.zxing.MultiFormatReader;
import com.google.zxing.Result;
import com.google.zxing.common.HybridBinarizer;
public class QRCodeRecognition {
public static void main(String[] args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME); // 加载OpenCV库
// 读取二维码图像
BufferedImage image = ImageIO.read(new File("input.jpg"));
// 创建二维码读取器
MultiFormatReader reader = new MultiFormatReader();
// 对图像进行灰度化和二值化处理
Mat src = Imgcodecs.imread("input.jpg");
Mat gray = new Mat();
Imgproc.cvtColor(src, gray, Imgproc.COLOR_BGR2GRAY);
Mat binary = new Mat();
Imgproc.threshold(gray, binary, 0, 255, Imgproc.THRESH_BINARY | Imgproc.THRESH_OTSU);
// 对图像进行矫正
MatOfPoint2f srcMat = new MatOfPoint2f(new Point(0, 0), new Point(image.getWidth(), 0), new Point(0, image.getHeight()), new Point(image.getWidth(), image.getHeight()));
MatOfPoint2f dstMat = new MatOfPoint2f(new Point(30, 30), new Point(270, 30), new Point(30, 270), new Point(270, 270));
Mat perspectiveMatrix = Imgproc.getPerspectiveTransform(srcMat, dstMat);
Mat corrected = new Mat();
Imgproc.warpPerspective(binary, corrected, perspectiveMatrix, new org.opencv.core.Size(300, 300));
// 对图像进行二维码识别
BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(new BufferedImageLuminanceSource(corrected)));
Result result = null;
try {
result = reader.decode(bitmap);
} catch (Exception e) {
e.printStackTrace();
}
if (result != null) {
System.out.println("二维码内容:" + result.getText());
} else {
System.out.println("未找到二维码");
}
}
}
```
在代码中,首先需要加载OpenCV库。然后读取需要识别的二维码图像,并使用Zxing库创建二维码读取器。通过使用OpenCV库将图像灰度化和二值化处理,然后对图像进行矫正,这里使用的是透视变换。最后,使用Zxing库对矫正后的图像进行二维码识别,并输出识别结果。
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