I am a beginner in OpenCV. I know C++ and Android Programming. I have decided to shift on OpenCV.
In my project, Using OpenCV I am detecting a red color ball through camera and getting its coordinates. Using these coordinates, I want to draw the same line or shape on a separate white image. For example, if the use user moves ball to write the alphabet W in the air, and I have received all the coordinates of ball position, I want to draw W on the separate image. I am not asking for code, but little help and guidance.
Thanks in advance.
If you have the coordinates it is easy. First create your cv::Mat and set it all white.
cv::Mat image;
image.setTo(cv::Scalar(255,255,255));
Then if you have the begin and the end coordinates you can draw a line using opencv line function.
cv::line(image, cv::Point(initial_coords.x, initial_coords.y), cv::Point(end_coords.x, end_coords.y), cv::Scalar(0,0,255));
Finally to do the w use puttext function
cv::putText(image, "text", cv::Point(coords.x, coords.y), cv::FONT_HERSHEY_SCRIPT_SIMPLEX, 2, Scalar::all(255), 3,8);
If you need to erase the window before adding new things use again the
image.setTo(cv::Scalar(255,255,255));
Related
I am using opencv to determine coordinates the lane between two red lines like this:
Lane-detection:
It is not rectangle so I can't use cv2.rectangle to cover on it.
Does everyone have some ideas?
I'm working on a project which locates the Machine Readable Zone on ID cards.
For this I need to do some pre processing to extract the ID card from a scanned image which typically are randomly disposed on a white page. I'm able to locate the majority of the cards by using a Histogram equalization with CLAHE before a contour detection. But in some cases the border around the MRZ is totally invisible (white on white) as shown on the attached image.
I'd like to detect rectangle of a predefined shape as I know the shape of the ID card will be always the same but so far I wasn't able to find a way do do something like this with OpenCV.
Basically what I need is to find two rectangle of a fixed ratio that best match the 2 cards on the scan.
I'm wondering if I need to try OpenCV matchers or if there is a simpler way to accomplish this kind of detection.
The solution to you problem is likely going to be matrix transformations. The concept is to pinpoint 4 coordinates on the card that can be easily detected using opencv, such as the the rectangle colored in blue & cyan.
Have coordinates of the card with the predefined shape stored in an array, where a corner of the card is at the 0, 0. Also store the coordinates of the blue * cyan rectangle in an array. With the two arrays you can find the perspective transform of the two arrays using the cv2.getPerspectiveTransform method.
Using the perspective transform found, you can detect the coordinates of the whole card every time you detect the coordinates of the blue & cyan rectangle.
So first some background. Im developing a really simple 2D game, in Delphi 10.3, FMX, which at the bottom of the screen draws a random terrain for each level of the game.
Anyway, the terrain is just some random numbers which are used in Tpathdata and then i use fillpath to draw this 2d "terrain".
I want to check when a "falling" object, a trect for example, intersects with this terrain.
My idea was to get all the points of the tpathdata, every Y position of every X position of the screen width. This way i could easily check when an object intersects with the terrain.
I just cannout figure the way how to do it, or if anyone has any other solution. Id really appreciate any help. Thanks
This is not really a Delphi problem but a math problem.
You should have a math representation of your terrain. The polygon representing the boundary of the terrain. Then you need to use the math to know if a point is inside the polygon. See Wikipedia.
You may also implement it purely graphically using a B/W bitmap of the same resolution of the screen. You set the entire bitmap as white and draw the terrain on the bottom in white. Then checking the color of a pixel in that bitmap you'll know if it is outside of the terrain (black) or inside the terrain (white).
I know how to draw line on 2d surface.But I can't find a way to draw a line in space.
I have wrote a demo
and now I want to draw line in space.
and finish it like this:
I have finished the 2d surface rotate in space use CATransform3D already. But I don't know how to draw line in space.
Thanks a lot.
Normal drawing on iOS is 2D. Core Animation is "2.5D", where it can draw flat images with fake 3D perspective. It doesn't let you "draw in space."
If you want real 3D perspective drawing you should use OpenGL, SceneKit, Metal, or some other 3D API.
Your trying to draw a 3d image on a 2d surface. Therefore you need some sort of mapping
https://en.m.wikipedia.org/wiki/3D_projection
Has some options for you. Orthographic projection is probably what you want though
https://upload.wikimedia.org/math/8/3/a/83a402b37056afa1dd4c8d706a9a2d75.png
Is the equation you would want to use where s is a scaling factor and c is an offset
I have no background in computer vision, but I was curious to know how I could use OpenCV library to achieve the following:
I have a jar of spare buttons, assorted in colour, style and diameter. For the most part they are circular. I evenly scatter them on a piece of white paper, and under good lighting, take a fairly high resolution picture with your average digital camera. How would I got about slicing this image to grab each button individually as a separate object/image?
Thanks in advance.
Two possible ways:
1) Using the circle hough transform
You run some edge detector (canny/sobel) and then the circle hough transform. You'll get the circles.
2) Using contours
Seperate the button and background using thresholding. Detect contours in this thresholded image and you have the buttons!
Articles that might help:
Contours: http://aishack.in/tutorials/an-introduction-to-contours/
Thresholding: http://aishack.in/tutorials/thresholding/
Hough circles: http://aishack.in/tutorials/hough-circles-in-opencv/
Disclaimer: Those are links to my website.
I think the simplest thing you could try is: run the Canny edge detector and apply a Hough transform to detect circles and generate a separate image from each of the circles.
I've been doing some dish recognition and it worked pretty good. do this:
Do some thresholding (buttons should be shiner than background) to leave only the buttons,
then cvFindContours
for each contour:
run cvFitEllipse, it will return you both axis (a,b) of the fitted ellipse.
check that the area of an ellipse PIab is similar to the Area of the contour using cvContourArea and also that both axis are similar a = b. (this will leave only circles)
then you can do whatever you need.
printContour, using cvPrintContour, use cvMinAreaRect2 to get button bounding box, etc
Hough transform is also possible but it is quite more expensive.