FindContour | 直接使用opencv findContours 和 minAreaRect 方法从分割结果获取box
kandi X-RAY | FindContour Summary
kandi X-RAY | FindContour Summary
直接使用opencv findContours 和 minAreaRect 方法从分割结果获取box.
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- r Find the contour of the image
- Rotate a bounding box .
- Fits a line .
- Compute the PCA line .
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FindContour Examples and Code Snippets
Community Discussions
Trending Discussions on FindContour
QUESTION
I detected a chessboard using OpenCV in python using:
- Computing the edge of the image
- Computing the Hough transform
- Finding the local maxima of Hough transform
- Extracting the image lines
Then I used findContours
and drawContours
functions:
ANSWER
Answered 2022-Apr-15 at 07:30An approach is to use contour area filtering + shape approximation. Since a square has 4 corners, we can assume a contour is a square if it has four vertices.
Detected squares in green
Isolated squares
QUESTION
By "non convex hull" I mean something like
the black portion of the image (my apologies if this is not "non convex hull", I do not have a better word to describe it).
What I am trying to get is a maximum inscribed circle within the black portion, like the red circle below.
In other words, I would like to know the circle in a vacant space. Is this possible using opencv
? When I try to get the circle using the following code
ANSWER
Answered 2022-Apr-11 at 13:31There’s some cases of occurring it:
case 1:
set the variable center
wrongly ;-;
case 2: because of cv2 coords ( 0, 0 ) is the top left of the screen, so that if center is correct, then make sure that you’ve made the the cv2 screen as your screen size, else that happens
QUESTION
ANSWER
Answered 2022-Mar-18 at 10:04We may use dilate
instead of GaussianBlur
, use RETR_EXTERNAL
instead of RETR_TREE
, and keep only the large contours.
Inverse the
threshold
:
QUESTION
I am newbie to OpenCV. I'm trying to find the contours of the captcha image. It does not work only when my captcha image contains the dotted text.
I have done following code for that:
...ANSWER
Answered 2022-Feb-28 at 09:23Here is my code and output
QUESTION
I'm trying to categorize the type of jigsaw puzzle pieces (number of heads, if it is a border or a corner...) by analyzing their contours.
The approach I'm trying to follow is analyzing this type of plot (from this paper) that "unwinds" the cartesian coordinates of the contours of the puzzle piece by converting it to polar coordinates; however I'm not able to replicate it.
I've tried with:
...ANSWER
Answered 2022-Feb-19 at 17:31Find the center of the tile:
QUESTION
My purpose is to check whether these cubes are in one column or not. Having problem with detecting objects properly. not sure why numbers are placed there like that. My main questions:
- How to compare two point of two objects to check if they are fit well or not?
- How can I improve detecting objects?
Thanks in advance.
...ANSWER
Answered 2022-Feb-02 at 12:05Since the boxes are touching each other, watershed algorithm works well in this cases to extract the box contours. Then the x coordinates position of the rectangle contours can be used to say whether they are aligned or not.
Steps:
- Watershed algorithm to get markers.
- Filter out boxes(rectangles)
- To see if its aligned or not using standard deviation of all the boxes x coordinates. (the threshold can be set accordingly)
Code:
QUESTION
I am trying to digitize the kid's drawing into SVG or transparent png file format so that they can be used in Scratch. The white paper should be replaced by transparent background and all the drawing part should be preserved.
My plan is to get the outest contour of the drawing and generate a mask, then use the mask to get the drawing part without paper background.
The problem is the drawing may not consecutive which means there may have some small holes leading to break the entire drawing contour to many many small contours.
Now I want to concatenate the near outest contours to form a big outest contour for masking.
The original drawing and the processed result is attached.
Code:
...ANSWER
Answered 2021-Dec-04 at 02:08import cv2, numpy as np
# Read Image
img = cv2.imread('/home/stephen/Desktop/test_img.png')
img =cv2.resize(img, (750,1000))
QUESTION
still on my journey of learning image masking.
Im trying to count the number of red dots in an image.
After masking red, I get this image
The problem is, some of the blobs aren't full, so it does not count all the blobs, for example in this specific image, it does not count number 6 and 9. (assuming top left is 1)
How do I refine the masking process to get a more accurate blob?
Masking Code:
...ANSWER
Answered 2021-Nov-10 at 15:37Since you're looking for bright enough reds, you might have a better time masking things in HSV space:
QUESTION
I have a piece of code as bellow:
...ANSWER
Answered 2021-Oct-16 at 03:57A great way is (adapted from Cris Luengo's comment)
QUESTION
I want to remove the text at the edges and draw a bounding box around the center text, I have written the following code but it does not work
Input image
Output should be like this with bounding box
...ANSWER
Answered 2021-Sep-23 at 09:39Assume we know how to remove the text at the bottom edge, we can rotate the image by 90 degrees, and remove the text at the top edge - rotate and remove 4 times.
Removing the text at the bottom edge:
Dilating:
There is no need to apply GaussianBlur
, and no need for opening.
We may simply dilate with horizontal line shaped kernel:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install FindContour
You can use FindContour like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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