使用 openCV 在 android 中进行 Hough 线检测
Hough line detection in android using openCV
我的 mRgba 对象的尺寸为 0X0,因此它 return 图片上没有任何线条
在 all.I 猜测它是空的。代码中的问题是什么?有没有办法显示线条
黑色背景?
这是代码
mat = new Mat();
edges = new Mat();
Size kernel = new Size(5, 5);
Mat gauss = new Mat();
Mat mRgba = new Mat(612,816, CvType.CV_8UC1);
Mat lines = new Mat(612,816, CvType.CV_8UC1);
binary_image = new Mat();
Utils.bitmapToMat(bitmap, mat);
Imgproc.GaussianBlur(mat, gauss, kernel, 10000, 10000);
Imgproc.Canny(gauss, edges, 50, 90);
Imgproc.threshold(edges, binary_image, 0, 255, Imgproc.THRESH_BINARY_INV);
int threshold = 50;
int minLineSize = 20;
int lineGap = 20;
Imgproc.HoughLinesP(binary_image, lines, 1, Math.PI / 180,threshold,minLineSize,lineGap);
for (int x = 0; x < lines.cols(); x++) {
double[] vec = lines.get(0, x);
double x1 = vec[0],
y1 = vec[1],
x2 = vec[2],
y2 = vec[3];
Point start = new Point(x1, y1);
Point end = new Point(x2, y2);
Core.line(mRgba, start, end, new Scalar(255, 0, 0), 3);
}
Bitmap bmp = Bitmap.createBitmap(mRgba.cols(), mRgba.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(mRgba, bmp);
bitmap=bmp;
编辑:问题已通过删除高斯模糊和阈值方法得到解决
mat = new Mat();
edges = new Mat();
Mat mRgba = new Mat(612,816, CvType.CV_8UC1);
Mat lines = new Mat();
Utils.bitmapToMat(bitmap, mat);
Imgproc.Canny(mat, edges, 50, 90);
int threshold = 50;
int minLineSize = 20;
int lineGap = 20;
Imgproc.HoughLinesP(edges, lines, 1, Math.PI / 180,threshold,minLineSize,lineGap);
for (int x = 0; x < lines.cols(); x++) {
double[] vec = lines.get(0, x);
double x1 = vec[0],
y1 = vec[1],
x2 = vec[2],
y2 = vec[3];
Point start = new Point(x1, y1);
Point end = new Point(x2, y2);
Core.line(mRgba, start, end, new Scalar(255, 0, 0), 3);
}
Bitmap bmp = Bitmap.createBitmap(mRgba.cols(), mRgba.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(mRgba, bmp);
bitmap=bmp;
- 您在创建
mRgba
时没有指定尺寸,它应该与您尝试查找线条的图像具有相同的尺寸。
- 您应该检查
lines
对象,看看您是否能够找到线条或
不是。查mRgba
. 就可以明白了
- 这似乎不是全部代码,这里没有加载图片。您最好也共享整个代码和示例图像。
我的 mRgba 对象的尺寸为 0X0,因此它 return 图片上没有任何线条 在 all.I 猜测它是空的。代码中的问题是什么?有没有办法显示线条 黑色背景?
这是代码
mat = new Mat();
edges = new Mat();
Size kernel = new Size(5, 5);
Mat gauss = new Mat();
Mat mRgba = new Mat(612,816, CvType.CV_8UC1);
Mat lines = new Mat(612,816, CvType.CV_8UC1);
binary_image = new Mat();
Utils.bitmapToMat(bitmap, mat);
Imgproc.GaussianBlur(mat, gauss, kernel, 10000, 10000);
Imgproc.Canny(gauss, edges, 50, 90);
Imgproc.threshold(edges, binary_image, 0, 255, Imgproc.THRESH_BINARY_INV);
int threshold = 50;
int minLineSize = 20;
int lineGap = 20;
Imgproc.HoughLinesP(binary_image, lines, 1, Math.PI / 180,threshold,minLineSize,lineGap);
for (int x = 0; x < lines.cols(); x++) {
double[] vec = lines.get(0, x);
double x1 = vec[0],
y1 = vec[1],
x2 = vec[2],
y2 = vec[3];
Point start = new Point(x1, y1);
Point end = new Point(x2, y2);
Core.line(mRgba, start, end, new Scalar(255, 0, 0), 3);
}
Bitmap bmp = Bitmap.createBitmap(mRgba.cols(), mRgba.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(mRgba, bmp);
bitmap=bmp;
编辑:问题已通过删除高斯模糊和阈值方法得到解决
mat = new Mat();
edges = new Mat();
Mat mRgba = new Mat(612,816, CvType.CV_8UC1);
Mat lines = new Mat();
Utils.bitmapToMat(bitmap, mat);
Imgproc.Canny(mat, edges, 50, 90);
int threshold = 50;
int minLineSize = 20;
int lineGap = 20;
Imgproc.HoughLinesP(edges, lines, 1, Math.PI / 180,threshold,minLineSize,lineGap);
for (int x = 0; x < lines.cols(); x++) {
double[] vec = lines.get(0, x);
double x1 = vec[0],
y1 = vec[1],
x2 = vec[2],
y2 = vec[3];
Point start = new Point(x1, y1);
Point end = new Point(x2, y2);
Core.line(mRgba, start, end, new Scalar(255, 0, 0), 3);
}
Bitmap bmp = Bitmap.createBitmap(mRgba.cols(), mRgba.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(mRgba, bmp);
bitmap=bmp;
- 您在创建
mRgba
时没有指定尺寸,它应该与您尝试查找线条的图像具有相同的尺寸。 - 您应该检查
lines
对象,看看您是否能够找到线条或 不是。查mRgba
. 就可以明白了
- 这似乎不是全部代码,这里没有加载图片。您最好也共享整个代码和示例图像。