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这篇文章主要讲解了“OPENCV中文显示乱码怎么用JAVA处理”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“OPENCV中文显示乱码怎么用JAVA处理”吧！
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1.Imgproc.putText中文乱码
Imgproc.putText(image, new String(("性别:" + gender + "年龄:" + age).getBytes("UTF-8")),
new Point(rects[i].x, rects[i].y), Imgproc.FONT_HERSHEY_PLAIN, 0.8, sc, 1, Imgproc.LINE_AA, false);2.问题处理思路
1.MAT转IMAGE 2.IMAGE添加水印后转MAT
3.代码（转换来自网络）
/**
* Mat转换成BufferedImage
*
* @param matrix 要转换的Mat
* @param fileExtension 格式为 ".jpg", ".png", etc
* @return
*/
public static BufferedImage Mat2BufImg(Mat matrix, String fileExtension) {
// convert the matrix into a matrix of bytes appropriate for
// this file extension
MatOfByte mob = new MatOfByte();
Imgcodecs.imencode(fileExtension, matrix, mob);
// convert the "matrix of bytes" into a byte array
byte[] byteArray = mob.toArray();
BufferedImage bufImage = null;
try {
InputStream in = new ByteArrayInputStream(byteArray);
bufImage = ImageIO.read(in);
} catch (Exception e) {
e.printStackTrace();
}
return bufImage;
}
/**
* BufferedImage转换成Mat
*
* @param original 要转换的BufferedImage
* @param imgType bufferedImage的类型 如 BufferedImage.TYPE_3BYTE_BGR
* @param matType 转换成mat的type 如 CvType.CV_8UC3
*/
public static Mat BufImg2Mat(BufferedImage original, int imgType, int matType) {
if (original == null) {
throw new IllegalArgumentException("original == null");
}
//System.loadLibrary("opencv_java412");
//System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
//System.load("E:\\opencv\\opencv\\build\\java\\x64\\opencv_java412.dll");
//System.out.println(Core.NATIVE_LIBRARY_NAME);
// Don't convert if it already has correct type
if (original.getType() != imgType){
// Create a buffered image
BufferedImage image = new BufferedImage(original.getWidth(), original.getHeight(), imgType);
// Draw the image onto the new buffer
Graphics2D g = image.createGraphics();
try {
g.setComposite(AlphaComposite.Src);
g.drawImage(original, 0, 0, null);
} finally {
g.dispose();
}
}
byte[] pixels = ((DataBufferByte) original.getRaster().getDataBuffer()).getData();
Mat mat = Mat.eye(original.getHeight(), original.getWidth(), matType);
mat.put(0, 0, pixels);
return mat;
}
/**
*
* @param cc 识别类
* @param image 图片
* @param sc 颜色
* @param flip 是否反转
* @return
* @throws UnsupportedEncodingException
*/
private static Map getFace(CascadeClassifier cc,Mat image,Scalar sc,boolean flip) throws UnsupportedEncodingException {
Map resultMap=new HashMap();
MatOfRect face = new MatOfRect();
if(flip) {
Core.flip(image, image, 1);
}
cc.detectMultiScale(image, face);
Rect[] rects = face.toArray();
System.out.println("匹配到 " + rects.length + " 个人脸");
// 4 为每张识别到的人脸画一个圈
for (int i = 0; i < rects.length; i++) {
Imgproc.rectangle(image, new Point(rects[i].x, rects[i].y),
new Point(rects[i].x + rects[i].width, rects[i].y + rects[i].height), sc);
String age=analyseAge(image,rects[i]);
String gender=analyseGender(image,rects[i]);
//
Font font = new Font("微软雅黑", Font.PLAIN, 12);
BufferedImage bufImg =Mat2BufImg(image,".png");
Graphics2D g = bufImg.createGraphics();
g.drawImage(bufImg, 0, 0, bufImg.getWidth(),bufImg.getHeight(), null);
g.setFont(font); //设置字体
//设置水印的坐标
g.drawString("性别:"+gender+" 年龄:"+age, rects[i].x, rects[i].y);
g.dispose();
image=ImageUtil.BufImg2Mat(bufImg, BufferedImage.TYPE_3BYTE_BGR, CvType.CV_8UC3);// CvType.CV_8UC3
/*
* Imgproc.putText(image, new String(("性别:" + gender + "年龄:" +
* age).getBytes("UTF-8")), new Point(rects[i].x, rects[i].y),
* Imgproc.FONT_HERSHEY_PLAIN, 0.8, sc, 1, Imgproc.LINE_AA, false);
*/
}
if(flip) {
Core.flip(image, image, 1);
}
boolean check=rects.length<1?false:true;
resultMap.put("check", check);
resultMap.put("Mat", image);
return resultMap;
} 4.中文显示效果图
感谢各位的阅读，以上就是“OPENCV中文显示乱码怎么用JAVA处理”的内容了，经过本文的学习后，相信大家对OPENCV中文显示乱码怎么用JAVA处理这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是创新互联，小编将为大家推送更多相关知识点的文章，欢迎关注！