Android opcv 添加暗水印流程如下所示：
Github 地址: github.com/hyyz3293/Da…
核心代码 已经贴出
第一步：android studio 配置 opcv环境 opencv.org/opencv-3-4-…
OPCV 环境配置：
a:下载安卓opcv： https://opencv.org/opencv-3-4-1/ （我用的是openCVLibrary341）
b:将下载好后的（sdk\java） 导入 android studio 项目中： File -> New -> Import Module
c:删除module中的 <uses-sdk android:minSdkVersion="16" android:targetSdkVersion="21" />
更改项目项目配置 与你的一样
d:将module中libs里面的架包 （OpenCV-android-sdk\sdk\native\libs） 拷贝入自己的项目中
e：自己项目加入配置 让app包，与新添加的这个OpenCV库关联
implementation project(':openCVLibrary341')
sourceSets {
main {
//说明so的路径为该libs路径，关联所有地图SDK的so文件
jniLibs.srcDir 'libs'
}
}
f: 加入 //以下很重要
//将添加的.so文件，打包成jar
task nativeLibsToJar(type: Jar, description: 'create a jar archive of the native libs') {
destinationDir file("$buildDir/native-libs")
baseName 'native-libs'
from fileTree(dir: 'libs', include: '**/*.so')
into 'lib/'
}
tasks.withType(JavaCompile) {
compileTask -> compileTask.dependsOn(nativeLibsToJar)
}
第二步：判断Opcv是否集成成功 //初始化 if (OpenCVLoader.initDebug())
可根据灰色测试按钮测试
Mat src = new Mat();//Mat是OpenCV的一种图像格式
Mat temp = new Mat();
Mat dst = new Mat();
Bitmap bitmap = BitmapFactory.decodeResource(this.getResources(), R.mipmap.a);
Utils.bitmapToMat(bitmap, src);
Imgproc.cvtColor(src, temp, Imgproc.COLOR_RGB2BGR);
Imgproc.cvtColor(temp, dst, Imgproc.COLOR_BGR2GRAY);
Utils.matToBitmap(dst, bitmap);
img.setImageBitmap(bitmap);
src.release();
temp.release();
dst.release();
第三步： 开始写代码了
1、添加水印 并保存图片到本地哟
Bitmap bt = ImgUtils.drawableToBitmap(getResources().getDrawable(R.mipmap.a));
Mat src = new Mat(bt.getHeight(), bt.getWidth(), CvType.CV_8U);
Utils.bitmapToMat(bt, src);
Mat imageMat = OpcvImgUtils.addImageWatermarkWithText(src, "Jack666");
Bitmap bt3 = null;
bt3 = Bitmap.createBitmap(imageMat.cols(), imageMat.rows(), Bitmap.Config.RGB_565);
Utils.matToBitmap(imageMat, bt3);
File root = new File(Environment.getExternalStorageDirectory().getAbsoluteFile(), "WaterMark");
if ((root.exists() || root.mkdir()) && root.isDirectory()) {
filePath = root.getAbsolutePath();
}
path = filePath + "/" + ImgUtils.getTimeStampFileName(0);
ImageUtils.save(bt3, path, Bitmap.CompressFormat.PNG);
LogUtils.e(path);
Glide.with(this).load(path).into(imgTest);
2、从本地图片中 提取水印哟
Bitmap bitmap = BitmapFactory.decodeFile(path);
Mat temp = new Mat();
Utils.bitmapToMat(bitmap, temp);
Mat showMat = OpcvImgUtils.getImageWatermarkWithText(temp);
Bitmap bt4 = Bitmap.createBitmap(showMat.cols(), showMat.rows(), Bitmap.Config.RGB_565);
Utils.matToBitmap(showMat, bt4);
imgTest2.setImageBitmap(bt4);
String paths = filePath + "/" + ImgUtils.getTimeStampFileName(0);
ImageUtils.save(bt4, paths , Bitmap.CompressFormat.PNG);
Bitmap bitmap = BitmapFactory.decodeFile(path);
Mat temp = new Mat();
Utils.bitmapToMat(bitmap, temp);
Mat showMat = OpcvImgUtils.getImageWatermarkWithText(temp);
Bitmap bt4 = Bitmap.createBitmap(showMat.cols(), showMat.rows(), Bitmap.Config.RGB_565);
Utils.matToBitmap(showMat, bt4);
imgTest2.setImageBitmap(bt4);
String paths = filePath + "/" + ImgUtils.getTimeStampFileName(0);
ImageUtils.save(bt4, paths , Bitmap.CompressFormat.PNG); OpcvImgUtils.java
public class OpcvImgUtils {
private static List<Mat> planes = new ArrayList<Mat>();
private static List<Mat> allPlanes = new ArrayList<Mat>();
public static Mat addImgWaterMarkTxt(Mat image, String watermarkText, Point point, Double fontSize, Scalar scalar) {
Mat complexImage = new Mat();
//优化图像的尺寸
//Mat padded = optimizeImageDim(image);
Mat padded = splitSrc(image);
padded.convertTo(padded, CvType.CV_32F);
planes.add(padded);
planes.add(Mat.zeros(padded.size(), CvType.CV_32F));
Core.merge(planes, complexImage);
// dft
Core.dft(complexImage, complexImage);
Imgproc.putText(complexImage, watermarkText, point, Core.FONT_HERSHEY_DUPLEX, fontSize, scalar);
Core.flip(complexImage, complexImage, -1);
Imgproc.putText(complexImage, watermarkText, point, Core.FONT_HERSHEY_DUPLEX, fontSize, scalar);
Core.flip(complexImage, complexImage, -1);
return antitransformImage(complexImage, allPlanes);
}
public static Mat addImageWatermarkWithText(Mat image, String watermarkText){
Mat complexImage = new Mat();
//优化图像的尺寸
//Mat padded = optimizeImageDim(image);
Mat padded = splitSrc(image);
padded.convertTo(padded, CvType.CV_32F);
planes.add(padded);
planes.add(Mat.zeros(padded.size(), CvType.CV_32F));
Core.merge(planes, complexImage);
// dft
Core.dft(complexImage, complexImage);
// 添加文本水印
Scalar scalar = new Scalar(0, 0, 0);
Point point = new Point(50, 50);
Imgproc.putText(complexImage, watermarkText, point, Core.FONT_HERSHEY_DUPLEX, 1D, scalar);
Core.flip(complexImage, complexImage, -1);
Imgproc.putText(complexImage, watermarkText, point, Core.FONT_HERSHEY_DUPLEX, 1D, scalar);
Core.flip(complexImage, complexImage, -1);
return antitransformImage(complexImage, allPlanes);
}
/**
*
* @ProjectName: 获取图片水印
* @Package:
* @ClassName:
* @Description: java类作用描述
* @Author: jack
* @CreateDate:
* @UpdateUser: 更新者
* @UpdateDate:
* @UpdateRemark: 更新内容
* @Version: 1.0
*/
public static Mat getImageWatermarkWithText(Mat image){
List<Mat> planes = new ArrayList<Mat>();
Mat complexImage = new Mat();
Mat padded = splitSrc(image);
padded.convertTo(padded, CvType.CV_32F);
planes.add(padded);
planes.add(Mat.zeros(padded.size(), CvType.CV_32F));
Core.merge(planes, complexImage);
// dft
Core.dft(complexImage, complexImage);
Mat magnitude = createOptimizedMagnitude(complexImage);
planes.clear();
return magnitude;
}
private static Mat splitSrc(Mat mat) {
mat = optimizeImageDim(mat);
Core.split(mat, allPlanes);
Mat padded = new Mat();
if (allPlanes.size() > 1) {
for (int i = 0; i < allPlanes.size(); i++) {
if (i == 0) {
padded = allPlanes.get(i);
break;
}
}
} else {
padded = mat;
}
return padded;
}
private static Mat antitransformImage(Mat complexImage, List<Mat> allPlanes) {
Mat invDFT = new Mat();
Core.idft(complexImage, invDFT, Core.DFT_SCALE | Core.DFT_REAL_OUTPUT, 0);
Mat restoredImage = new Mat();
invDFT.convertTo(restoredImage, CvType.CV_8U);
if (allPlanes.size() == 0) {
allPlanes.add(restoredImage);
} else {
allPlanes.set(0, restoredImage);
}
Mat lastImage = new Mat();
Core.merge(allPlanes, lastImage);
return lastImage;
}
/**
*
* @ProjectName: 为加快傅里叶变换的速度，对要处理的图片尺寸进行优化
* @Package:
* @ClassName:
* @Description: java类作用描述
* @Author: jack
* @CreateDate:
* @UpdateUser: 更新者
* @UpdateDate:
* @UpdateRemark: 更新内容
* @Version: 1.0
*/
private static Mat optimizeImageDim(Mat image) {
Mat padded = new Mat();
int addPixelRows = Core.getOptimalDFTSize(image.rows());
int addPixelCols = Core.getOptimalDFTSize(image.cols());
//Imgcodecs.IMREAD_COLOR-->BORDER_CONSTANT
Core.copyMakeBorder(image, padded, 0, addPixelRows - image.rows(), 0, addPixelCols - image.cols(),
Core.BORDER_REPLICATE, Scalar.all(0));
return padded;
}
private static Mat createOptimizedMagnitude(Mat complexImage) {
List<Mat> newPlanes = new ArrayList<Mat>();
Mat mag = new Mat();
Core.split(complexImage, newPlanes);
Core.magnitude(newPlanes.get(0), newPlanes.get(1), mag);
Core.add(Mat.ones(mag.size(), CvType.CV_32F), mag, mag);
Core.log(mag, mag);
shiftDFT(mag);
mag.convertTo(mag, CvType.CV_8UC1);
Core.normalize(mag, mag, 0, 255, Core.NORM_MINMAX, CvType.CV_8UC1);
return mag;
}
private static void shiftDFT(Mat image) {
image = image.submat(new Rect(0, 0, image.cols() & -2, image.rows() & -2));
int cx = image.cols() / 2;
int cy = image.rows() / 2;
Mat q0 = new Mat(image, new Rect(0, 0, cx, cy));
Mat q1 = new Mat(image, new Rect(cx, 0, cx, cy));
Mat q2 = new Mat(image, new Rect(0, cy, cx, cy));
Mat q3 = new Mat(image, new Rect(cx, cy, cx, cy));
Mat tmp = new Mat();
q0.copyTo(tmp);
q3.copyTo(q0);
tmp.copyTo(q3);
q1.copyTo(tmp);
q2.copyTo(q1);
tmp.copyTo(q2);
}
public void test() {
try {
// Mat imageMat = Utils.loadResource(this, R.mipmap.ddd); // Mat showMat = OpcvImgUtils.getImageWatermarkWithText(imageMat); // Bitmap bm = BitmapFactory.decodeResource(getResources(), R.mipmap.a); // Utils.matToBitmap(showMat, bm); // imgTest.setImageBitmap(bm);
// 初始化数据
//Mat mat1 = new Mat();
// Mat mat2 = new Mat(); // Mat mat1Sub = new Mat(); // // // 加载图片 // Bitmap bt1 = BitmapFactory.decodeResource(getResources(), // R.drawable.im_beauty); // Bitmap bt2 = BitmapFactory.decodeResource(getResources(), // R.drawable.im_flower3); //Bitmap bt3 = null;
// // 转换数据 // Utils.bitmapToMat(bt1, mat1); // Utils.bitmapToMat(bt2, mat2); // // /** 方法一加权 高级方式 可实现水印效果*********/ // // // mat1Sub=mat1.submat(0, mat2.rows(), 0, mat2.cols()); // // Core.addWeighted(mat1Sub, 1, mat2, 0.3, 0., mat1Sub); // // /** 方法二 求差 *****
/ // // // submat(y坐标, 图片2的高, x坐标，图片2的宽); // // mat1Sub=mat1.submat(0, mat2.rows(), 0, mat2.cols()); // // mat2.copyTo(mat1Sub); // // /
方法三兴趣区域裁剪 **/ // // 定义感兴趣区域Rect(x坐标，y坐标,图片2的宽，图片2的高) // Rect rec = new Rect(0, 0, mat2.cols(), mat2.rows()); // // submat(y坐标, 图片2的高, x坐标，图片2的宽); // mat1Sub = mat1.submat(rec); // mat2.copyTo(mat1Sub); //转化为android识别的图像数据注意bt3的宽高要和mat1一至
// Bitmap processedImage = Bitmap.createBitmap(src.cols(), src.rows(), Bitmap.Config.ARGB_8888); // Utils.matToBitmap(src, processedImage);
// bt3 = Bitmap.createBitmap(showMat.cols(), showMat.rows(), Bitmap.Config.RGB_565); // Utils.matToBitmap(showMat, bt3); //imgTest.setImageBitmap(bt3);
} catch (Exception e) {
e.printStackTrace();
}
}
ImgUtils.java
public class ImgUtils {
/**
* 获取文件名
* @param wsa
* @return
*/
public static String getTimeStampFileName(int wsa){
SimpleDateFormat timesdf = new SimpleDateFormat("yyyyMMddHHmmss");
String timeStamp = timesdf.format(new Date()).toString();
String fileName = "";
if (wsa == 0){
fileName = timeStamp + ".png";
}else if (wsa == 1){
fileName = timeStamp + ".xls";
} else if (wsa == 2) {
fileName = timeStamp + ".jpg";
} else if (wsa == 3) {
fileName = timeStamp + ".txt";
}
return fileName;
}
/**
* Drawable转换成一个Bitmap
*
* @param drawable drawable对象
* @return
*/
public static final Bitmap drawableToBitmap(Drawable drawable) {
Bitmap bitmap = Bitmap.createBitmap( drawable.getIntrinsicWidth(), drawable.getIntrinsicHeight(),
drawable.getOpacity() != PixelFormat.OPAQUE ? Bitmap.Config.ARGB_8888 : Bitmap.Config.RGB_565);
Canvas canvas = new Canvas(bitmap);
drawable.setBounds(0, 0, drawable.getIntrinsicWidth(), drawable.getIntrinsicHeight());
drawable.draw(canvas);
return bitmap;
}