I want to enhance the hand back imge, see the below image:
After enhance it, I got the below image,
My question is how to remove the fine hair on the hand back image? see the below image, I want to remove the fine hair(such as, the line enclosed in the red line), but, need to keep the vein(such as, the line enclosed in the green line)
This is some simpler C++ code that I used to replicate sturkmen's algorithm:
Mat frame = imread("hand.png");
if (frame.empty())
{
cout << "File read error" << endl;
return 0;
}
int dilation_size = 2;
Mat dilation_element = getStructuringElement(
MORPH_RECT,
Size(2 * dilation_size + 1, 2 * dilation_size + 1),
Point(dilation_size, dilation_size));
dilate(frame, frame, dilation_element);
imshow("frame", frame);
waitKey();
I'm deleting my own answer.
@sjhalayka. That's not solution. He merely wanted removing part of red lines only. Not all of them.
@sjhalayka BBBRRRrrrrrrr in your area. I was thinking about your code that you posted as above. Draw a rectangle to selected unwanting hair by using mouseevent method then apply your code. Then save image.
I tried to solve your problem with the idea that you need a method applicable to similar images. So, I wrote a small algorithm that read the pixels of the image and detect when there's a sudden change in intensity(0-255) and blur the subregion. Particularly, I create an imaginary rectangle(1x9 pixel) which I iterate through the image. For each movement of the rectangle I iterate IN it vertically(that is, read 9 vertical pixels) and check for sudden delta in intensity(in this case 30) and blur that area with a normal blur. But before doing all this, I apply a threshold to highlight the hair. The result is not exactly what you asked but hey, I enjoyed myself :-). Here's the code:
#include <iostream>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
int main()
{
Mat image;
image = imread("hand.jpg", IMREAD_GRAYSCALE);
if (image.data==NULL)
cout << "Img not found" << endl;
namedWindow("hand", WINDOW_AUTOSIZE);
Mat orig = image.clone();
threshold(image, image, 180, 255, THRESH_BINARY);
int height = 8;
for(int x=0;x<image.cols;x++)
for (int y = height / 2; y < image.rows - height / 2; y++)
{
int whiteToBlack = 0, blackToWhite = 0;
for (int rectY = y - height / 2; rectY < y + height / 2 - 1; rectY++)
if (image.at<uchar>(rectY, x) > image.at<uchar>(rectY + 1, x) && image.at<uchar>(rectY, x) - image.at<uchar>(rectY + 1, x) > 30)
whiteToBlack++;
else if (image.at<uchar>(rectY, x) < image.at<uchar>(rectY + 1, x) && image.at<uchar>(rectY + 1, x) - image.at<uchar>(rectY, x) > 30)
blackToWhite++;
if (whiteToBlack > 0 && blackToWhite > 0)
for (int rectY = y - height / 4; rectY < y + height / 4 - 1; rectY++)
blur(orig(Rect(x, y - height / 2, 4, height + 1)), orig(Rect(x, y - height / 2, 4, height + 1)),Size(3,3));
}
imshow("hand", orig);
waitKey(0);
}
The result:
The inpaint can be found on Opencv's folder either cpp or python2 C:\fakepath\Unwanted hair removed.jpg
Asked: 2017-12-27 02:45:36 -0600
Seen: 1,660 times
Last updated: Dec 31 '17
Easier way to do this is
grabcut. Can be found in OpenCV' s folder.