Android 中使用拉普拉斯公式检测图像是否模糊的 OpenCV
OpenCV with Laplacian formula to detect image is blur or not in Android
在Ios中我们可以:
Is there a way to detect if an image is blurry?
我不知道如何在 Android 或 Java 中检测图像是否模糊?
private void opencvProcess() {
BitmapFactory.Options options = new BitmapFactory.Options();
options.inDither = true;
options.inPreferredConfig = Bitmap.Config.ARGB_8888;
Bitmap image = decodeSampledBitmapFromFile(picFilePath, options, 2000, 2000);
int l = CvType.CV_8UC1; //8-bit grey scale image
Mat matImage = new Mat();
Utils.bitmapToMat(image, matImage);
Mat matImageGrey = new Mat();
Imgproc.cvtColor(matImage, matImageGrey, Imgproc.COLOR_BGR2GRAY);
Bitmap destImage;
destImage = Bitmap.createBitmap(image);
Mat dst2 = new Mat();
Utils.bitmapToMat(destImage, dst2);
Mat laplacianImage = new Mat();
dst2.convertTo(laplacianImage, l);
Imgproc.Laplacian(matImageGrey, laplacianImage, CvType.CV_8U);
Mat laplacianImage8bit = new Mat();
laplacianImage.convertTo(laplacianImage8bit, l);
Bitmap bmp = Bitmap.createBitmap(laplacianImage8bit.cols(), laplacianImage8bit.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(laplacianImage8bit, bmp);
int[] pixels = new int[bmp.getHeight() * bmp.getWidth()];
bmp.getPixels(pixels, 0, bmp.getWidth(), 0, 0, bmp.getWidth(), bmp.getHeight()); // bmp为轮廓图
int maxLap = -16777216; // 16m
for (int pixel : pixels) {
if (pixel > maxLap)
maxLap = pixel;
}
int soglia = -6118750;
if (maxLap <= soglia) {
System.out.println("is blur image");
}
soglia += 6118750;
maxLap += 6118750;
LogUtil.log("图片位置=" + picFilePath
+ "\nimage.w=" + image.getWidth() + ", image.h=" + image.getHeight()
+ "\nmaxLap= " + maxLap + "(清晰范围:0~6118750)"
+ "\n" + Html.fromHtml("<font color='#eb5151'><b>" + (maxLap <= soglia ? "模糊" : "清晰") + "</b></font>"));
opencvEnd = true;
isBlur = maxLap <= soglia;
}
在Ios中我们可以:
Is there a way to detect if an image is blurry?
我不知道如何在 Android 或 Java 中检测图像是否模糊?
private void opencvProcess() {
BitmapFactory.Options options = new BitmapFactory.Options();
options.inDither = true;
options.inPreferredConfig = Bitmap.Config.ARGB_8888;
Bitmap image = decodeSampledBitmapFromFile(picFilePath, options, 2000, 2000);
int l = CvType.CV_8UC1; //8-bit grey scale image
Mat matImage = new Mat();
Utils.bitmapToMat(image, matImage);
Mat matImageGrey = new Mat();
Imgproc.cvtColor(matImage, matImageGrey, Imgproc.COLOR_BGR2GRAY);
Bitmap destImage;
destImage = Bitmap.createBitmap(image);
Mat dst2 = new Mat();
Utils.bitmapToMat(destImage, dst2);
Mat laplacianImage = new Mat();
dst2.convertTo(laplacianImage, l);
Imgproc.Laplacian(matImageGrey, laplacianImage, CvType.CV_8U);
Mat laplacianImage8bit = new Mat();
laplacianImage.convertTo(laplacianImage8bit, l);
Bitmap bmp = Bitmap.createBitmap(laplacianImage8bit.cols(), laplacianImage8bit.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(laplacianImage8bit, bmp);
int[] pixels = new int[bmp.getHeight() * bmp.getWidth()];
bmp.getPixels(pixels, 0, bmp.getWidth(), 0, 0, bmp.getWidth(), bmp.getHeight()); // bmp为轮廓图
int maxLap = -16777216; // 16m
for (int pixel : pixels) {
if (pixel > maxLap)
maxLap = pixel;
}
int soglia = -6118750;
if (maxLap <= soglia) {
System.out.println("is blur image");
}
soglia += 6118750;
maxLap += 6118750;
LogUtil.log("图片位置=" + picFilePath
+ "\nimage.w=" + image.getWidth() + ", image.h=" + image.getHeight()
+ "\nmaxLap= " + maxLap + "(清晰范围:0~6118750)"
+ "\n" + Html.fromHtml("<font color='#eb5151'><b>" + (maxLap <= soglia ? "模糊" : "清晰") + "</b></font>"));
opencvEnd = true;
isBlur = maxLap <= soglia;
}