opencv-contour

问题 How do I pass a line through the center of a contour? I have the center coordinates of my contour. 回答1: This is how you solve this question - Original image - Result image - You first need to do basic filtering and find the contour. Then - 1) Find out the area of contour (minAreaRect) 2) Extract points from the contour (BoxPoints) 3) Convert it to a numpy array (np.array) 4) Order the points (perspective.order_points) 5) Take out Top-left, Top-right, Bottom-right and Bottom-left(tl, tr, br,

问题 I am working on a personal project where I detect rectangles (all the same dimensions) and then place those rectangles inside a list in the same order (top-bottom) and then process the information inside each rectangle using some function. Below is my test image. I have managed to detect the rectangle of interest, however I keep getting other rectangles that I don't want. As you can see I only want the three rectangles with the information (6,9,3) into a list. My code import cv2 width=700

问题 I'm trying to match a slightly irregular shape to a database of shapes. For example, here the contour I'm trying to match: For more information, this is an outline of an HDMI connector, represented as a contour. It is slightly rough as this was taken with a phone while holding the HDMI. This is my database of connectors: HDMI: DVI: 5PinDIN: DB25: These are a lot clearer as these are contours gathered from connector images from the internet. For what I have tried: cv2.matchShapes() Since these

问题 I am working on a computer vision problem, in which one step in the problem is find the locations where the objects are close to each other. Example, in the image below I am interesting in finding the regions marked in gray. Input : Output : My current approach is to first invert the image, followed by morphological gradient follower by erosion, then removing some non-interesting contours. Script is as follows: img = cv2.imread('mask.jpg', 0) img = (255 - img) kernel = np.ones((11,11), np

问题 I am new to OpenCV and trying to see if I can find a way to detect vertical text for the image attached. In this case on row 3 , I would like to get the bounding box around Original Cost and the amount below ($200,000.00). Similarly I would like to get the bounding box around Amount Existing Liens and the associated amount below. I then would use this data to send to an OCR engine to read text. Traditional OCR engines go line by line and extract and loses the context. Here is what I have

来源： https://stackoverflow.com/questions/41705405/finding-intersections-of-a-skeletonised-image-in-python-opencv

来源： https://stackoverflow.com/questions/41705405/finding-intersections-of-a-skeletonised-image-in-python-opencv

来源： https://stackoverflow.com/questions/62793937/computer-vision-opencv-counting-small-circles-inside-big-circle

问题 I am trying to detect playing cards and transform them to get a bird's eye view of the card using python opencv. My code works fine for simple cases but I didn't stop at the simple cases and want to try out more complex ones. I'm having problems finding correct contours for cards.Here's an attached image where I am trying to detect cards and draw contours: My Code: path1 = "F:\\ComputerVisionPrograms\\images\\cards4.jpeg" g = cv2.imread(path1,0) img = cv2.imread(path1) edge = cv2.Canny(g,50

问题 I am trying to detect the corners of a grid within various pictures I have to process. Images can be skewed and some might be relatively well oriented but we cannot guarantee that all images will be like this. To determine the corners of the grid, I have tried using Hough lines but to no avail. Sometimes the Hough lines don't identify the edge of the grid and it is hard to determine which of the lines drawn belong to the edge of the grid and which of them are grid lines. I then decided to use