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    Contours are curves that join all the continuous points along the boundary of an object with the same color or intensity. They are useful for shape analysis, object detection, and recognition. OpenCV provides functions to find and draw contours in images.

    Finding Contours

    To find contours in an image, follow these steps:

    1. Convert the Image to Grayscale: This simplifies the image and prepares it for thresholding.

    2. Apply Binary Thresholding: This converts the image to a binary format, highlighting the objects of interest.

    3. Find Contours: Use the cv2.findContours() function to detect contours in the binary image.

    Here is an example of finding contours in an image:

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  4. Find and Draw Contours using OpenCV | Python

    Jan 4, 2023 · OpenCV has findContour() function that helps in extracting the contours from the image. It works best on binary images, so we should first apply thresholding techniques, Sobel edges, etc. Below is the code for finding …

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